Overview

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Dataset statistics

Number of variables350
Number of observations1342
Missing cells305454
Missing cells (%)65.0%
Total size in memory3.8 MiB
Average record size in memory2.9 KiB

Variable types

Text13
Numeric210
DateTime3
Unsupported97
Boolean27

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w1_experimentidexperiment id
w1_fillinquestfillinquest
w1_lastpagelast page
w1_submitdatedate of submission
w1_startlanguagestart language
w1_startdateStart date
w1_datestampdatestamp
w1_refurl reference url
w1_A00_1Having read the informative and the privacy policy in the email (also linked below) ...do you agree to participate in the WENET-Internet of us survey and tell us about your experience as a student at the University of […]?
w1_A00_2Having read the informative and the privacy policy in the email (also linked below) ...do you authorize access to your university administrative data?
w1_A01Which gender were you born? 1. Male, 2. Female?
w1_A02When were you born? Year:
w1_A03What is your nationality? [List, see Appendix]
w1_A03JLUWhat is your nationality? [List, see Appendix]
w1_A04AMRITAQuestion: In what faculty/department are you studying? | Answer:
w1_A04AMRITA_otherQuestion: In what faculty/department are you studying? | Answer:
w1_A04AAUQuestion: In what faculty/department are you studying? | Answer: A04AAU. [List, see Appendix]:1. Electronic Systems 2. Architecture, Design and Media Technology 3. Chemistry and Bioscience 4. Communication and Psychology 5. Culture and Learning 6. Planning 7. Mathematical Sciences 8. Materials and Production 9. Business and Management 10. Sociology and Social Work 11. Political Science 12. Clinical Medicine 13. Built Environment
w1_A04JLUQuestion: In what faculty/department are you studying? | Answer: A04JLU. [List, see Appendix]1. School of Philosophy and Society 2. Art college 3. Archaeological Institute 4. Foreign Language School 5. Art Academy 6. Sports Academy 7. School of Mathematics 8. School of Physics 9. School of Chemistry 10. College of Life Sciences 11. School of Electronic Science and Engineering 12. School of Communication Engineering 13. School of Computer Science and Technology 14. Software College 15. School of Economics 16. Law school 17. School of Administration 18. Business school 19. Institute of Finance 20. School of Mechanical Engineering 21. School of Automotive Engineering 22. material science and Engineering School 23. Jiaotong University 24. College of Biological and Agricultural Engineering 25. School of Management 26. School of Food Science and Engineering 27. School of Earth Sciences 28. School of Earth Exploration Science and Technology 29. School of Construction Engineering 30. School of New Energy and Environment 31. School of Instrument Science and Electrical Engineering 32. Basic Medical School 33. School of Public Health 34. College of Pharmacy 35. School of Nursing 36. School of Clinical Medicine 37. Bethune First Hospital 38. Bethune Second Hospital 39. Bethune Third Hospital 40. Bethune Dental Hospital 41. School of Animal Medicine 42. Faculty of Plant Science 43. College of Animal Science 44. Artificial Intelligence Academy
w1_A04LSEQuestion: In what faculty/department are you studying? | Answer: A04LSE. [List, see Appendix]1. Department of Accounting 2. Department of Anthropology 3. Department of Economics 4. Department of Economic History 5. European Institute 6. Department of Finance 7. Department of Gender Studies 8. Department of Geography and Environment 9. Institute of Global Affairs (IGA) 10. Department of Government 11. Department of Health Policy 12. Department of International Development 13. Department of International History 14. International Inequalities Institute 15. Department of International Relations 16. Language Centre 17. Department of Law 18. Department of Management 19. Marshall Institute 20. Department of Mathematics 21. Department of Media and Communications 22. Department of Methodology 23. Department of Philosophy, Logic and Scientific Method 24. Department of Psychological and Behavioural Science 25. School of Public Policy (formerly Institute of Public Affairs) 26. Department of Social Policy 27. Department of Sociology 28. Department of Statistics
w1_A04NUMQuestion: In what faculty/department are you studying? | Answer: A04NUM. [List, see Appendix]1. Business School 2. School of International Relations and Public Administration 3. School of Law 4. School of Engineering and Applied Sciences 5. School of Sciences – Division of Social Sciences 6. School of Sciences – Division of Natural Sciences 7. School of Sciences – Division of Humanities
w1_A04UCQuestion: In what faculty/department are you studying? | Answer: A04UC. [List, see Appendix]1. Facultad de Ciencias Contables, Administrativas y Económicas 2. Facultad de Ciencias y Tecnología 3. Facultad de Ciencias de la Salud 4. Facultad de Ciencias Jurídicas y Diplomáticas 5. Facultad de Filosofía y Ciencias Humanas
w1_A04UNITNQuestion: In what faculty/department are you studying? | Answer: A04UNITN. [List, see Appendix]1. CIBIO 2. Economics and Management 3. Faculty of Law 4. Physics 5. Civil, Environmental and Mechanical Engineering 6. Information Engineering and Computer Science 7. Industrial Engineering 8. Humanities 9. Mathematics 10. Psychology and Cognitive Science 11. Sociology and Social Research 12. Center Agriculture Food Environment 13. CIMeC - Centre for Mind/Brain Sciences 14. SSI - School of International Studies 15. Other structures
w1_A04IPICYTQuestion: In what faculty/department are you studying? | Answer: A04IPICYT. [List, see Appendix]
w1_A05Type of degree: 1. BSc, 2. MSc, 3.PhD
w1_A05UNITNType of degree: 1. BSc, 2. MSc, 3. 5 years
w1_A05AMRITAType of degree: 1. BSc, 2. MSc, 3.M.B.B.S, 4.MBA, 5.M.Tech, 6.B.Tech, 7.Integrated degree, 8.MHA, 9.B.Pharm, 10.M.D, 11.B.A.M.S, 12.BCA, 13.M.Pharm, 14.MCA, 15.M.S, 16.Mch
w1_A06Programme: 1. Full Time, 2. Part Time
w1_A07[Not for LSE if A05=2 AND A06=1] Course year
w1_A08You are: 1. Regularly enrolled for a BAs/MAs degree, 2. Register on supplementary year
w1_A09 [Not for LSE, NUM, UC and UNITN] Where do you live during term time?: 1. In the town where the university is located. 2. Close to the city where the university is located (less than 1.30 hours of travel). [go to A11] 3. In another city away from where the university is located (more than 1.30 hours of travel) [go to A11] 4. Abroad (e.g., Erasmus student) [go to B01]
w1_A09UNITNWhere do you live during term time? [See Appendix] 1. Trento [go to A10UNITN] 2. Rovereto 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)
w1_A09UCWhere do you live during term time? [See Appendix]1. Asunción [go to A10UC] 2. In the town where the university is located. 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)
w1_A10UNITNAnd exactly in which neighbourhood of the town do you live? And exactly in which district of the town do you live? [See Appendix]1. Center (from Cristo Re/San Martino to Fersina) 2. Piedicastello/Vela 3. Trento North (from Gardolo to loc.Solteri/Via Brennero/Via Maccani) 4. North of Gardolo (Lavis, Meano, Spini) 5. Argentario (Cognola/Martignano/Montevaccino/Villamontagna) 6. East hill (Mesiano/Povo/Oltrecastello/San Donà/Cognola/Villazzano) 7. Trento South (Bolghera/Clarina/San Bartolomeo/Madonna Bianca/Villazzano Tre) 8. Mattarello/Ravina/Romagnano 9. Bondone/Cadine/Sardagna/Sopramonte
w1_A10AAUAnd exactly in which neighbourhood of the town do you live? And exactly in which neighbourhood of the town do you live? [See Appendix]1. Vesterbro/Kongens Enghave 2. Nørrebro 3. Østerbro 4. Amager Øst 5. Amager Vest 6. Valby 7. Bispebjerg 8. Vanløse 9. Brønshøj-Husum
w1_A10NUMAnd exactly in which neighbourhood of the town do you live? Please, enter the zip code of where you live during term time [See Appendix]
w1_A10LSEAnd exactly in which neighbourhood of the town do you live? What is your first three digits of post code? [See Appendix]1. London Central (30 minutes from LSE) 2. Outer London (1hour from LSE) 3. Outside London
w1_A10UCAnd exactly in which neighbourhood of the town do you live? What area exactly do you live in? [See Appendix]1. Centro 2. Sajonia 3. San Vicente y Santa Ana 4. Mcal López1 (entre Brasil y Gral Santos) 5. España1 (entre Brasil y Gral Santos) 6. Mcal López2 (entre Gral Santos y Rca. Argentina) 7. España2 (entre Gral Santos y Rca. Argentina) 8. Pinoza/ Seminario 9. Los Laureles 10. Shopping del Sol hasta calle Última 11. Trinidad 12. Loma Pyta
w1_A10IPICYTAnd exactly in which neighbourhood of the town do you live? In which area do you live? [See Appendix]
w1_A11NUMWhat kind of accommodation are you living in? [See Appendix]1. University dormitory (dormitory) 2. In the university apartment 3. Dormitory (Private dormitory) 4. Rental apartment / house 5. Own apartment or house (may be yours, parents 'or relatives') 6. As a private guest / guest (adjoining room for rent) 7. As a friend or guest of friends 8. Mongolian ger and fence 9. Fence in the house
w1_A11 What kind of accommodation are you living in? 1. University students’ Residence (dormitory) (e.g. LSE Hall of Residence, San Bartolameo, Danmarks Internationale Kollegium) 2. University flat 3. University campus4. A private sector Hall of Residence (Private students’ dormitory)5. Rental house/flat 6. in a house/apartment owned (by you, your parents, or relatives) 7. guest of a private person8. guest of friend or friends
w1_B01_1Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am the life of the party
w1_B01_2Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Sympathize with others’ feelings
w1_B01_3Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get chores done right away
w1_B01_4Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have frequent mood swings
w1_B01_5Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have a vivid imagination
w1_B01_6Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Don’t talk a lot
w1_B01_7Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in other people’s problems
w1_B01_8Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Often forget to put things back in their proper place
w1_B01_9Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am relaxed most of the time
w1_B01_10Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in abstract ideas
w1_B01_11Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Talk to a lot of different people at parties
w1_B01_12Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Feel others’ emotions
w1_B01_13Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Like order
w1_B01_14Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get upset easily
w1_B01_15Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have difficulty understanding abstract ideas
w1_B01_16Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Keep in the background
w1_B01_17Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not really interested in others
w1_B01_18Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Make a mess of things
w1_B01_19Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Seldom feel blue
w1_B01_20Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Do not have a good imagination
w1_B02_1Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SOCIAL SUPPORT. To obtain help when you need it; to feel that you are not alone in the world.
w1_B02_2Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SUCCESS. To reach your goals; to be efficient in everything you do.
w1_B02_3Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SEXUALITY. To have sexual relationships; to obtain sexual pleasure.
w1_B02_4Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: KNOWLEDGE. To look for up-to-date news on not very well-known matters; to try to discover new things about the world.
w1_B02_5Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: EMOTION. To enjoy challenges or unknown situations; to look for adventure.
w1_B02_6Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: POWER. To have the power to influence others and to control decisions; to be the boss of a team.
w1_B02_7Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: AFFECTIVITY. To have a deep and enduring affectionate relationship; to have somebody to share successes and failures.
w1_B02_8Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.
w1_B02_9Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: HEALTH. To look after your health at all times, not just when sick; not to be sick.
w1_B02_10Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PLEASURE. To live for the moment; to satisfy all your desires.
w1_B02_11Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PRESTIGE. To know that a lot of people know and admire you; when you are older to receive a homage for your contributions.
w1_B02_12Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: OBEDIENCE. To fulfill your daily duties and obligations; to respect your parents, superiors, or elders.
w1_B02_13Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PERSONAL STABILITY. To have the certainty that tomorrow you will have all that you have today; to have an organized and planned life.
w1_B02_14Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BELONGING. To have good neighborly relationships; to form part of a group (e.g., social, religious, sporting, etc.).
w1_B02_15Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BEAUTY. To be able to appreciate the best in art, music, and literature; to go to museums or exhibitions where you can see beautiful things.
w1_B02_16Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: TRADITION. To follow the social norms of your country; to respect the traditions of your society.
w1_B02_17Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SURVIVAL. To have water, food, and shelter every day in your life; to live in a place with enough food.
w1_B02_18Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: MATURITY. To feel that your purpose in life has been fulfilled; to develop all your capacities.
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w1_C01_1How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online live synchronous
w1_C01_2How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online recorded asynchronous
w1_C01_3How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Partly synchronously and partly asynchronously
w1_C01_4How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: In presence
w1_C02_1How often do you attend workshops or other academic activities? (1 “never” – 6 “very often”)
w1_C02_2How often do you take notes in class? (1 “never” – 6 “very often”)
w1_C02_3How often do you review and arrange notes at the end of the lecture? (1 “never” – 6 “very often”)
w1_C02_4How often do you audio record the lecture? (1 “never” – 6 “very often”)
w1_C02_5How often do you study and review notes regularly during the class week? (1 “never” – 6 “very often”)
w1_C02_6How often do you schematize or summarize books or notes related to a course? (1 “never” – 6 “very often”)
w1_C02_7How often do you take part in the activities organized by the course? (1 “never” – 6 “very often”)
w1_C02_8How often do you use specialized websites (e.g., statistics, philosophy, physics…)? (1 “never” – 6 “very often”)
w1_C02_9How often do you use question & answer sites (e.g., Quora, Stack Overflow, Answers.com)? (1 “never” – 6 “very often”)
w1_C02_10How often do you use university websites/platform tools for learning (e.g., Moodle, etc.)? (1 “never” – 6 “very often”)
w1_C02_11How often do you use commercial education platforms (e.g., Coursera, Udemy, Datacamp)? (1 “never” – 6 “very often”)
w1_C02_12How often do you use virtual labs and Amrita University Management Systems? (1 “never” – 6 “very often”)
w1_D01About how many university students can you contact for help in studying?
w1_D02Are you in an informal study group(s) (beside the one you are in for the lab/class project)? 1) Yes 2) No [go to E01]
w1_D03How many informal study groups do you participate in?
w1_D04About how many people are in the informal study group? If you have more than one, think about the one you meet most often
w1_D05How often do you meet? If you meet more than one, think about the one you meet most often.1. Less than once a week2. Once a week3. Twice a week 4. Three days a week 5. Four days a week6. Five or more days a week
w1_E01_1How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Twitter - Weibo
w1_E01_2How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook
w1_E01_3How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : LinkedIn
w1_E01_4How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : YouTube
w1_E01_5How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Instagram
w1_E01_6How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Telegram
w1_E01_7How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Pinterest
w1_E01_8How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Reddit
w1_E01_9How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Flickr
w1_E01_10How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook messenger
w1_E01_11How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WhatsApp
w1_E01_12How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Google hangouts
w1_E01_13How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Skype
w1_E01_14How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Zoom
w1_E01_15How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Snapchat
w1_E01_16How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Tinder
w1_E01_17How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WeChat
w1_E01_18How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Viber
w1_E01_19How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : TikTok
w1_E01JLU_1How often do use the following social networking channels? | Answer: Weibo(微博)
w1_E01JLU_2How often do use the following social networking channels? | Answer: LinkedIn
w1_E01JLU_3How often do use the following social networking channels? | Answer: Bilibili
w1_E01JLU_4How often do use the following social networking channels? | Answer: Acfun
w1_E01JLU_5How often do use the following social networking channels? | Answer: lvzhou(绿洲)
w1_E01JLU_6How often do use the following social networking channels? | Answer: Telegram
w1_E01JLU_7How often do use the following social networking channels? | Answer: Pinterest
w1_E01JLU_8How often do use the following social networking channels? | Answer: Huaban(花瓣)
w1_E01JLU_9How often do use the following social networking channels? | Answer: Xiaohongshu(小红书)
w1_E01JLU_10How often do use the following social networking channels? | Answer: Reddit
w1_E01JLU_11How often do use the following social networking channels? | Answer: Tieba(贴吧)
w1_E01JLU_12How often do use the following social networking channels? | Answer: Douban(豆瓣小组)
w1_E01JLU_13How often do use the following social networking channels? | Answer: Skype
w1_E01JLU_14How often do use the following social networking channels? | Answer: Zoom
w1_E01JLU_15How often do use the following social networking channels? | Answer: Tencent Meeting(腾讯会议)
w1_E01JLU_16How often do use the following social networking channels? | Answer: DingDing(钉钉)
w1_E01JLU_17How often do use the following social networking channels? | Answer: Tinder
w1_E01JLU_18How often do use the following social networking channels? | Answer: Tantan(探探)
w1_E01JLU_19How often do use the following social networking channels? | Answer: Momo(陌陌)
w1_E01JLU_20How often do use the following social networking channels? | Answer: WeChat(微信)
w1_E01JLU_21How often do use the following social networking channels? | Answer: QQ
w1_E01JLU_22How often do use the following social networking channels? | Answer: TikTok(抖音)
w1_E01JLU_23How often do use the following social networking channels? | Answer: Kuaishou(快手)
w1_E01JLU_24How often do use the following social networking channels? | Answer: Huoshan (火山小视频)
w1_E02_1Do you use social networking sites to solve an academic problem? (1 “never” – 6 “very often”)
w1_E02_2Do you use social networking sites to do research work? (1 “never” – 6 “very often”)
w1_E02_3Do you use social networking sites for online academic group discussion? (1 “never” – 6 “very often”)
w1_E02_4Do you use social networking sites to prepare for an examination? (1 “never” – 6 “very often”)
w1_E02_5Do you use social networking sites for collaborative learning? (1 “never” – 6 “very often”)
w1_E02_6Do you use social networking sites to keep you up to date with the activities of your university? (1 “never” – 6 “very often”)
w1_E02_7Do you use social networking sites to seek help from your teachers? (1 “never” – 6 “very often”)
w1_E02_8Do you use social networking sites to become sociable? (1 “never” – 6 “very often”)
w1_E02_9Do you use social networking sites to create your social identity? (1 “never” – 6 “very often”)
w1_E02_10Do you use social networking sites to attend social gatherings? (1 “never” – 6 “very often”)
w1_E02_11Do you use social networking sites to keep in touch with my friends? (1 “never” – 6 “very often”)
w1_E02_12Do you use social networking sites to keep in touch with my relatives? (1 “never” – 6 “very often”)
w1_E02_13Do you use social networking sites to get information regarding current social events? (1 “never” – 6 “very often”)
w1_E02_14Do you use social networking sites for sharing pictures? (1 “never” – 6 “very often”)
w1_E02_15Do you use social networking sites to look at funny stories? (1 “never” – 6 “very often”)
w1_E02_16Do you use social networking sites for watching movies? (1 “never” – 6 “very often”)
w1_E02_17Do you use social networking sites to get relief from academic stress? (1 “never” – 6 “very often”)
w1_E02_18Do you use social networking sites for reading news? (1 “never” – 6 “very often”)
w1_E02_19Do you use social networking sites to share new ideas? (1 “never” – 6 “very often”)
w1_E02_20Do you use social networking sites for getting jobs related information? (1 “never” – 6 “very often”)
w1_E02_21
w1_E03You know what a chatbot is? 1. Yes, 2. No [go to F01]
w1_E04Currently, do you use some chatbot? 1. Yes [go to E06], 2. No
w1_E05In the past, have you tried to talk/converse with a chatbot? 1. Yes [go to F01], 2. No [go to F01]
w1_E06How many chatbot apps have you installed on your smartphone? N.|__|
w1_E07Can you tell us which chatbot(s) you have installed on your smartphone? App Name(s) (________)
w1_E08How often do use the chatbot? (1) Rarely/Never; (2) Every few weeks; (3) A few times a week; (4) About once a day; (5) Several times a day
w1_E09_1How much do you agree with the following statement: if the chatbot shows you ads (advertisements) based on your online activity? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_2How much do you agree with the following statement: if the chatbot knew who you were, without logging in? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_3How much do you agree with the following statement: if the chatbot analysed you, even when using other apps (applications)? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_4How much do you agree with the following statement: if the chatbot identified your age? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_5How much do you agree with the following statement: if the chatbot identified your gender? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_6How much do you agree with the following statement: if the chatbot identified your religious/political views? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_7How much do you agree with the following statement: if individuals or groups perform threatening acts to other users, through the chatbot? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_F01Are you a part of, or are you a member of, any student association or group and/or other nonstudents associations? (e.g. religious, political, sports, etc.) 1) Only student ass. [go to F02], 2)Only nonstudent ass. [go to F04], 3) Both, 4) No [go to G01]
w1_F02
w1_F03_1Please mark the categories of interest of the society(ies) you belong to: Faith
w1_F03_2Please mark the categories of interest of the society(ies) you belong to: Arts and Performance
w1_F03_3Please mark the categories of interest of the society(ies) you belong to: Activity and specialist (e.g., music, alt music, wine, dance, video makers)
w1_F03_4Please mark the categories of interest of the society(ies) you belong to: Cultural and National
w1_F03_5Please mark the categories of interest of the society(ies) you belong to: Careers
w1_F03_6Please mark the categories of interest of the society(ies) you belong to: Volunteering and Charity
w1_F03_7Please mark the categories of interest of the society(ies) you belong to: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)
w1_F03_8Please mark the categories of interest of the society(ies) you belong to: Media
w1_F03_9Please mark the categories of interest of the society(ies) you belong to: Sport
w1_F03_10Please mark the categories of interest of the society(ies) you belong to: Recreational
w1_F03_otherPlease mark the categories of interest of the society(ies) you belong to: Other, specify: ________
w1_F04_1Please mark the categories of interest of the society(ies) you belong to nonstudents association: Faith
w1_F04_2Please mark the categories of interest of the society(ies) you belong to nonstudents association: Arts and Performance
w1_F04_3Please mark the categories of interest of the society(ies) you belong to nonstudents association: Activity and specialist (e.g., music, alt music, wine, dance, video makers)
w1_F04_4Please mark the categories of interest of the society(ies) you belong to nonstudents association: Cultural and National
w1_F04_5Please mark the categories of interest of the society(ies) you belong to nonstudents association: Careers
w1_F04_6Please mark the categories of interest of the society(ies) you belong to nonstudents association: Volunteering and Charity
w1_F04_7Please mark the categories of interest of the society(ies) you belong to nonstudents association: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)
w1_F04_8Please mark the categories of interest of the society(ies) you belong to nonstudents association: Media
w1_F04_9Please mark the categories of interest of the society(ies) you belong to nonstudents association: Sport
w1_F04_10Please mark the categories of interest of the society(ies) you belong to nonstudents association: Recreational
w1_F04_otherPlease mark the categories of interest of the society(ies) you belong to nonstudents association: Other, specify
w1_G01_1Have you done any of the following activities in the last year or so? Acted in a theatre play (1) YES (2) NO
w1_G01_2Have you done any of the following activities in the last year or so? Directed a theatre play (1) YES (2) NO
w1_G01_3Have you done any of the following activities in the last year or so? Performed as a stand-up comedian (1) YES (2) NO
w1_G01_4Have you done any of the following activities in the last year or so? Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped (1) YES (2) NO
w1_G01_5Have you done any of the following activities in the last year or so? Played a musical instrument (1) YES (2) NO
w1_G01_6Have you done any of the following activities in the last year or so? Played a musical instrument in an orchestra or pop/rock/jazz/folk band (1) YES (2) NO
w1_G01_7Have you done any of the following activities in the last year or so? Composed music or performed as DJ (1) YES (2) NO
w1_G01_8Have you done any of the following activities in the last year or so? Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance) (1) YES (2) NO
w1_G01_9Have you done any of the following activities in the last year or so? Did choreography for a dance performance (1) YES (2) NO
w1_G02_1How often did you follow, view and/or listen to the recordings of Theatre plays? (1) Never, (2) ... , (6) Very often
w1_G02_2How often did you follow, view and/or listen to the recordings of Cabarets, or a stand-up comedy? (1) Never, (2) ... , (6) Very often
w1_G02_3How often did you follow, view and/or listen to the recordings of Ballets or a modern dance? (1) Never, (2) ... , (6) Very often
w1_G02_4How often did you follow, view and/or listen to the recordings of Classical music? (1) Never, (2) ... , (6) Very often
w1_G02_5How often did you follow, view and/or listen to the recordings of Opera? (1) Never, (2) ... , (6) Very often
w1_G02_6How often did you follow, view and/or listen to the recordings of Musical? (1) Never, (2) ... , (6) Very often
w1_G02_7How often did you follow, view and/or listen to the recordings of Pop or rock? (1) Never, (2) ... , (6) Very often
w1_G02_8How often did you follow, view and/or listen to the recordings of Jazz or blues? (1) Never, (2) ... , (6) Very often
w1_G02_9How often did you follow, view and/or listen to the recordings of Folk music concert? (1) Never, (2) ... , (6) Very often
w1_G02_10How often did you follow, view and/or listen to the recordings of World music? (1) Never, (2) ... , (6) Very often
w1_G02_11How often did you follow, view and/or listen to the recordings of Urban (rap, hip-hop, trap)? (1) Never, (2) ... , (6) Very often
w1_G02_12How often did you follow, view and/or listen to the recordings of Dance or house? (1) Never, (2) ... , (6) Very often
w1_G02_13How often did you follow, view and/or listen to the recordings of Popular national or local music? (1) Never, (2) ... , (6) Very often
w1_G02_14How often did you follow, view and/or listen to the recordings of A singer/songwriter? (1) Never, (2) ... , (6) Very often
w1_G02_15How often did you follow, view and/or listen to the recordings of Other music? (1) Never, (2) ... , (6) Very often
w1_G02_16How often did you follow, view and/or listen to the recordings of A sport events? (1) Never, (2) ... , (6) Very often
w1_G03_1Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often
w1_G03_2Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often
w1_G03_3Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often
w1_G03_4Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often
w1_G03_5Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often
w1_G03_6Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often
w1_G03_7Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often
w1_G03_8Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often
w1_G03_9Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often
w1_G03_10Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often
w1_G04_1During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_2During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_3During the last year or so... Did you visit a museum in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_4During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_5During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_6During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_7During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often
w1_G04_8During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often
w1_G04_9During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often
w1_G04_10During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often
w1_G05_1During the last year or so... How often did you visit a bookshop in your own country or abroad? 1. Never, 2., 3., 4., 5., 6. Very often
w1_G05_2During the last year or so... How often did you visit an online bookshop and/or search for literature and other material available in a library on the internet? 1. Never, 2., 3., 4., 5., 6. Very often
w1_G06Approximately, how many books (printed or eBook) do you have where you live? 1. None 2. 1-25 3. 26-50 4. 51-100 5. 101-200 6. 201-400 7. More than 400
w1_G07_1During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No
w1_G07_2During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No
w1_G08_1Which kind of books did you read? (tick all that apply): Literature & Novels
w1_G08_2Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy
w1_G08_3Which kind of books did you read? (tick all that apply): Mystery & Thrillers
w1_G08_4Which kind of books did you read? (tick all that apply): History
w1_G08_5Which kind of books did you read? (tick all that apply): Biographies
w1_G08_6Which kind of books did you read? (tick all that apply): Health, Mind & Body
w1_G08_7Which kind of books did you read? (tick all that apply): Other kind of books
w1_G09In the last year or so, approximately how many books have you read (not for study)? |__|__|
w1_G10_1Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_2Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_3Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_4Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G11_1Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never
w1_G11_2Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never
w1_H01fWhich is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____
w1_H01f_otherWhich is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____
w1_H01mWhich is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____
w1_H01m_otherWhich is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____
w1_H01fLSE
w1_H01mLSE
w1_H02fWhen you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know
w1_H03afMore precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee
w1_H03af_otherMore precisely he or guardian is/was an….? Answer: Other, please specify: _____
w1_H03bfw1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker
w1_H03bf_otherw1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____
w1_H02mWhen you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know
w1_H03amMore precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee
w1_H03am_otherMore precisely she or guardian is/was an….? Answer: Other, please specify: _____
w1_H03bmw1_H04bm - More precisely she or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker
w1_H03bm_other w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____
w1_I00Do you want to participate? 1. Yes, 2. No [go to I05]
w1_I01 Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’
w1_I03How many Mobile phones do you have? N. |__|
w1_I04 I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]
w1_BFI15_1Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often worry about trifles.
w1_BFI15_2Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often feel disturbed.
w1_BFI15_3Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I always worry that something bad is going to happen.
w1_BFI15_4Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to plan things from the beginning.
w1_BFI15_5Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I am diligent in my work or study.
w1_BFI15_6Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: One of my characteristics is doing things logically and orderly.
w1_BFI15_7Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I think most people are well-intentioned.
w1_BFI15_8Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some frauds in the society, I think most people can be trusted.
w1_BFI15_9Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some bad things in human society (such as war, evil and fraud), I still believe that human nature is generally good.
w1_BFI15_10Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm a person who loves to take risks and break the rules.
w1_BFI15_11Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like adventure.
w1_BFI15_12Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I have a spirit of adventure that no one else has.
w1_BFI15_13Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm bored by parties with lots of people.
w1_BFI15_14Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I try to avoid parties with lots of people and noisy environments.
w1_BFI15_15Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to go to social and recreational parties.
w1_GT_BF15
w1_N01How did you make a decision to become a student? 1. By myself 2. Followed my parents' advice 3. Followed my brother/sister's advice4. Other, please specify: ____
w1_N01_otherHow did you make a decision to become a student? | Answer: Other, please specify: ____
w1_N02Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]
w1_N03From where did you migrate? 1. Arkhangai 2. Bayan-Ulgii 3. Баянхонгор 4. Bayankhongor 5. Govi-Altai 6. Govisumber 7. Darkhan-Uul 8. Dornogovi 9. Dornod 10. Dundgovi 11. Zavkhan 12. Orkhon 13. Uvurkhangai 14. Umnugovi 15. Sukhbaatar 16. Selenge 17. Tuv 18. Uvs 19. Khovd 20. Khuvsgul 21. Khentii
w1_N04For how long are you living in the current place? 1. Less than 1 year 2. 1-2 years 3. 3-4 years 4. 4-5 years 5. 5 or more years
w1_N05_1Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_2Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_3Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_4Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_5Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_6Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_7Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_8Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N06Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____
w1_N06_otherPlease, give the reason to migrate to the city. | Answer: Other, please specify: ____
w1_interviewtimetime of interview
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w1_GT_A1
w1_GT_B
w1_GT_C
w1_GT_D
w1_GT_E
w1_GT_F
w1_GT_G1
w1_GT_G2
w1_GT_G3
w1_GT_H1
w1_GT_H2
w1_GT_I1
w1_GT_I2
w1_GT_N

Alerts

w1_experimentid has constant value "wenetParaguay" Constant
w1_startlanguage has constant value "es" Constant
w1_F03_1 is highly imbalanced (85.0%) Imbalance
w1_F03_2 is highly imbalanced (90.7%) Imbalance
w1_F03_3 is highly imbalanced (91.1%) Imbalance
w1_F03_4 is highly imbalanced (91.1%) Imbalance
w1_F03_5 is highly imbalanced (80.7%) Imbalance
w1_F03_6 is highly imbalanced (80.3%) Imbalance
w1_F03_7 is highly imbalanced (87.9%) Imbalance
w1_F03_8 is highly imbalanced (94.7%) Imbalance
w1_F03_9 is highly imbalanced (85.4%) Imbalance
w1_F03_10 is highly imbalanced (87.9%) Imbalance
w1_F04_1 is highly imbalanced (62.0%) Imbalance
w1_F04_2 is highly imbalanced (89.7%) Imbalance
w1_F04_3 is highly imbalanced (84.6%) Imbalance
w1_F04_4 is highly imbalanced (87.5%) Imbalance
w1_F04_5 is highly imbalanced (92.1%) Imbalance
w1_F04_6 is highly imbalanced (71.4%) Imbalance
w1_F04_7 is highly imbalanced (84.6%) Imbalance
w1_F04_8 is highly imbalanced (95.9%) Imbalance
w1_F04_9 is highly imbalanced (76.3%) Imbalance
w1_F04_10 is highly imbalanced (78.5%) Imbalance
w1_G08_5 is highly imbalanced (67.1%) Imbalance
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w1_A02 has 549 (40.9%) missing values Missing
w1_A03 has 438 (32.6%) missing values Missing
w1_A03JLU has 1342 (100.0%) missing values Missing
w1_A04AMRITA has 1342 (100.0%) missing values Missing
w1_A04AMRITA_other has 1342 (100.0%) missing values Missing
w1_A04AAU has 1342 (100.0%) missing values Missing
w1_A04JLU has 1342 (100.0%) missing values Missing
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w1_B01_6 has 667 (49.7%) missing values Missing
w1_B01_7 has 667 (49.7%) missing values Missing
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w1_B02_17 has 673 (50.1%) missing values Missing
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w1_B02JLU_4 has 1342 (100.0%) missing values Missing
w1_B02JLU_5 has 1342 (100.0%) missing values Missing
w1_B02JLU_6 has 1342 (100.0%) missing values Missing
w1_B02JLU_7 has 1342 (100.0%) missing values Missing
w1_B02JLU_8 has 1342 (100.0%) missing values Missing
w1_B02JLU_9 has 1342 (100.0%) missing values Missing
w1_B02JLU_10 has 1342 (100.0%) missing values Missing
w1_B02JLU_11 has 1342 (100.0%) missing values Missing
w1_B02JLU_12 has 1342 (100.0%) missing values Missing
w1_B02JLU_13 has 1342 (100.0%) missing values Missing
w1_B02JLU_14 has 1342 (100.0%) missing values Missing
w1_B02JLU_15 has 1342 (100.0%) missing values Missing
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w1_D05 has 1045 (77.9%) missing values Missing
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w1_E01_5 has 737 (54.9%) missing values Missing
w1_E01_6 has 738 (55.0%) missing values Missing
w1_E01_7 has 743 (55.4%) missing values Missing
w1_E01_8 has 740 (55.1%) missing values Missing
w1_E01_9 has 742 (55.3%) missing values Missing
w1_E01_10 has 742 (55.3%) missing values Missing
w1_E01_11 has 738 (55.0%) missing values Missing
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w1_E01_13 has 742 (55.3%) missing values Missing
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w1_E01_18 has 742 (55.3%) missing values Missing
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w1_E01JLU_1 has 1342 (100.0%) missing values Missing
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w1_E01JLU_3 has 1342 (100.0%) missing values Missing
w1_E01JLU_4 has 1342 (100.0%) missing values Missing
w1_E01JLU_5 has 1342 (100.0%) missing values Missing
w1_E01JLU_6 has 1342 (100.0%) missing values Missing
w1_E01JLU_7 has 1342 (100.0%) missing values Missing
w1_E01JLU_8 has 1342 (100.0%) missing values Missing
w1_E01JLU_9 has 1342 (100.0%) missing values Missing
w1_E01JLU_10 has 1342 (100.0%) missing values Missing
w1_E01JLU_11 has 1342 (100.0%) missing values Missing
w1_E01JLU_12 has 1342 (100.0%) missing values Missing
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w1_E01JLU_14 has 1342 (100.0%) missing values Missing
w1_E01JLU_15 has 1342 (100.0%) missing values Missing
w1_E01JLU_16 has 1342 (100.0%) missing values Missing
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w1_E01JLU_20 has 1342 (100.0%) missing values Missing
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w1_E01JLU_23 has 1342 (100.0%) missing values Missing
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w1_G03_9 has 791 (58.9%) missing values Missing
w1_G03_10 has 789 (58.8%) missing values Missing
w1_G04_1 has 769 (57.3%) missing values Missing
w1_G04_2 has 771 (57.5%) missing values Missing
w1_G04_3 has 779 (58.0%) missing values Missing
w1_G04_4 has 781 (58.2%) missing values Missing
w1_G04_5 has 774 (57.7%) missing values Missing
w1_G04_6 has 773 (57.6%) missing values Missing
w1_G04_7 has 773 (57.6%) missing values Missing
w1_G04_8 has 770 (57.4%) missing values Missing
w1_G04_9 has 772 (57.5%) missing values Missing
w1_G04_10 has 771 (57.5%) missing values Missing
w1_G05_1 has 781 (58.2%) missing values Missing
w1_G05_2 has 784 (58.4%) missing values Missing
w1_G06 has 802 (59.8%) missing values Missing
w1_G07_1 has 797 (59.4%) missing values Missing
w1_G07_2 has 797 (59.4%) missing values Missing
w1_G09 has 906 (67.5%) missing values Missing
w1_G10_1 has 804 (59.9%) missing values Missing
w1_G10_2 has 806 (60.1%) missing values Missing
w1_G10_3 has 806 (60.1%) missing values Missing
w1_G10_4 has 806 (60.1%) missing values Missing
w1_G11_1 has 802 (59.8%) missing values Missing
w1_G11_2 has 807 (60.1%) missing values Missing
w1_H01f has 801 (59.7%) missing values Missing
w1_H01f_other has 1331 (99.2%) missing values Missing
w1_H01m has 804 (59.9%) missing values Missing
w1_H01m_other has 1333 (99.3%) missing values Missing
w1_H01fLSE has 1342 (100.0%) missing values Missing
w1_H01mLSE has 1342 (100.0%) missing values Missing
w1_H02f has 803 (59.8%) missing values Missing
w1_H03af has 1081 (80.6%) missing values Missing
w1_H03af_other has 1323 (98.6%) missing values Missing
w1_H03bf has 1141 (85.0%) missing values Missing
w1_H03bf_other has 1324 (98.7%) missing values Missing
w1_H02m has 804 (59.9%) missing values Missing
w1_H03am has 1113 (82.9%) missing values Missing
w1_H03am_other has 1330 (99.1%) missing values Missing
w1_H03bm has 1216 (90.6%) missing values Missing
w1_H03bm_other has 1335 (99.5%) missing values Missing
w1_I00 has 819 (61.0%) missing values Missing
w1_I01 has 1053 (78.5%) missing values Missing
w1_I03 has 1150 (85.7%) missing values Missing
w1_I04 has 1150 (85.7%) missing values Missing
w1_BFI15_1 has 1342 (100.0%) missing values Missing
w1_BFI15_2 has 1342 (100.0%) missing values Missing
w1_BFI15_3 has 1342 (100.0%) missing values Missing
w1_BFI15_4 has 1342 (100.0%) missing values Missing
w1_BFI15_5 has 1342 (100.0%) missing values Missing
w1_BFI15_6 has 1342 (100.0%) missing values Missing
w1_BFI15_7 has 1342 (100.0%) missing values Missing
w1_BFI15_8 has 1342 (100.0%) missing values Missing
w1_BFI15_9 has 1342 (100.0%) missing values Missing
w1_BFI15_10 has 1342 (100.0%) missing values Missing
w1_BFI15_11 has 1342 (100.0%) missing values Missing
w1_BFI15_12 has 1342 (100.0%) missing values Missing
w1_BFI15_13 has 1342 (100.0%) missing values Missing
w1_BFI15_14 has 1342 (100.0%) missing values Missing
w1_BFI15_15 has 1342 (100.0%) missing values Missing
w1_GT_BF15 has 1342 (100.0%) missing values Missing
w1_N01 has 1342 (100.0%) missing values Missing
w1_N01_other has 1342 (100.0%) missing values Missing
w1_N02 has 1342 (100.0%) missing values Missing
w1_N03 has 1342 (100.0%) missing values Missing
w1_N04 has 1342 (100.0%) missing values Missing
w1_N05_1 has 1342 (100.0%) missing values Missing
w1_N05_2 has 1342 (100.0%) missing values Missing
w1_N05_3 has 1342 (100.0%) missing values Missing
w1_N05_4 has 1342 (100.0%) missing values Missing
w1_N05_5 has 1342 (100.0%) missing values Missing
w1_N05_6 has 1342 (100.0%) missing values Missing
w1_N05_7 has 1342 (100.0%) missing values Missing
w1_N05_8 has 1342 (100.0%) missing values Missing
w1_N06 has 1342 (100.0%) missing values Missing
w1_N06_other has 1342 (100.0%) missing values Missing
w1_GT_A0 has 386 (28.8%) missing values Missing
w1_GT_A1 has 541 (40.3%) missing values Missing
w1_GT_B has 657 (49.0%) missing values Missing
w1_GT_C has 675 (50.3%) missing values Missing
w1_GT_D has 712 (53.1%) missing values Missing
w1_GT_E has 731 (54.5%) missing values Missing
w1_GT_F has 736 (54.8%) missing values Missing
w1_GT_G1 has 746 (55.6%) missing values Missing
w1_GT_G2 has 752 (56.0%) missing values Missing
w1_GT_G3 has 771 (57.5%) missing values Missing
w1_GT_H1 has 800 (59.6%) missing values Missing
w1_GT_H2 has 803 (59.8%) missing values Missing
w1_GT_I1 has 819 (61.0%) missing values Missing
w1_GT_I2 has 998 (74.4%) missing values Missing
w1_GT_N has 1342 (100.0%) missing values Missing
w1_A02 is highly skewed (γ1 = -27.86819728) Skewed
w1_GT_A0 is highly skewed (γ1 = 20.98618621) Skewed
w1_GT_G2 is highly skewed (γ1 = 21.94389133) Skewed
w1_GT_H1 is highly skewed (γ1 = 20.50910006) Skewed
token has unique values Unique
w1_A03JLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04JLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04LSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A05UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A05AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10LSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A11NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_C02_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_19 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_20 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_21 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_22 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_23 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_24 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01fLSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01mLSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_GT_BF15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N01 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N01_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N02 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N03 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N04 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N06 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N06_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_GT_N is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_C01_1 has 113 (8.4%) zeros Zeros
w1_C01_2 has 183 (13.6%) zeros Zeros
w1_C01_3 has 273 (20.3%) zeros Zeros
w1_C01_4 has 361 (26.9%) zeros Zeros
w1_F02 has 45 (3.4%) zeros Zeros
w1_G09 has 19 (1.4%) zeros Zeros
w1_interviewtime has 386 (28.8%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:42:12.070900
Analysis finished2025-02-26 16:42:12.803788
Duration0.73 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct1342
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2025-02-26T17:42:12.957996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters20130
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1342 ?
Unique (%)100.0%

Sample

1st row00iwXpzLx6AbwMq
2nd row04taDI1JHePpj54
3rd row06pwgBm3l9Ya5tR
4th row08XmPfzk7FM9iGv
5th row08taZzocEI9qUCh
ValueCountFrequency (%)
00iwxpzlx6abwmq 1
 
0.1%
04tadi1jheppj54 1
 
0.1%
06pwgbm3l9ya5tr 1
 
0.1%
08xmpfzk7fm9igv 1
 
0.1%
08tazzocei9quch 1
 
0.1%
0ayzmrswrnmj2h5 1
 
0.1%
0fdawk4wkg6jy7a 1
 
0.1%
0fivcjeia49jvxb 1
 
0.1%
0jewksjizao6dqr 1
 
0.1%
0kyy8lg6xfjey5j 1
 
0.1%
Other values (1332) 1332
99.3%
2025-02-26T17:42:13.167590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 610
 
3.0%
z 598
 
3.0%
F 357
 
1.8%
D 348
 
1.7%
p 346
 
1.7%
5 343
 
1.7%
Q 339
 
1.7%
i 338
 
1.7%
S 338
 
1.7%
j 332
 
1.6%
Other values (52) 16181
80.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20130
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 610
 
3.0%
z 598
 
3.0%
F 357
 
1.8%
D 348
 
1.7%
p 346
 
1.7%
5 343
 
1.7%
Q 339
 
1.7%
i 338
 
1.7%
S 338
 
1.7%
j 332
 
1.6%
Other values (52) 16181
80.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20130
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 610
 
3.0%
z 598
 
3.0%
F 357
 
1.8%
D 348
 
1.7%
p 346
 
1.7%
5 343
 
1.7%
Q 339
 
1.7%
i 338
 
1.7%
S 338
 
1.7%
j 332
 
1.6%
Other values (52) 16181
80.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20130
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 610
 
3.0%
z 598
 
3.0%
F 357
 
1.8%
D 348
 
1.7%
p 346
 
1.7%
5 343
 
1.7%
Q 339
 
1.7%
i 338
 
1.7%
S 338
 
1.7%
j 332
 
1.6%
Other values (52) 16181
80.4%

w1_experimentid
Text

Constant 

experiment id

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.7 KiB
2025-02-26T17:42:13.247071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters17446
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetParaguay
2nd rowwenetParaguay
3rd rowwenetParaguay
4th rowwenetParaguay
5th rowwenetParaguay
ValueCountFrequency (%)
wenetparaguay 1342
100.0%
2025-02-26T17:42:13.358084image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 4026
23.1%
e 2684
15.4%
w 1342
 
7.7%
n 1342
 
7.7%
t 1342
 
7.7%
P 1342
 
7.7%
r 1342
 
7.7%
g 1342
 
7.7%
u 1342
 
7.7%
y 1342
 
7.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 17446
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 4026
23.1%
e 2684
15.4%
w 1342
 
7.7%
n 1342
 
7.7%
t 1342
 
7.7%
P 1342
 
7.7%
r 1342
 
7.7%
g 1342
 
7.7%
u 1342
 
7.7%
y 1342
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 17446
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 4026
23.1%
e 2684
15.4%
w 1342
 
7.7%
n 1342
 
7.7%
t 1342
 
7.7%
P 1342
 
7.7%
r 1342
 
7.7%
g 1342
 
7.7%
u 1342
 
7.7%
y 1342
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 17446
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 4026
23.1%
e 2684
15.4%
w 1342
 
7.7%
n 1342
 
7.7%
t 1342
 
7.7%
P 1342
 
7.7%
r 1342
 
7.7%
g 1342
 
7.7%
u 1342
 
7.7%
y 1342
 
7.7%

w1_fillinquest
Real number (ℝ)

fillinquest

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.649776453
Minimum-1
Maximum5
Zeros0
Zeros (%)0.0%
Negative386
Negative (%)28.8%
Memory size11.9 KiB
2025-02-26T17:42:13.395634image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median3
Q35
95-th percentile5
Maximum5
Range6
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.460333325
Coefficient of variation (CV)0.928505996
Kurtosis-1.28171533
Mean2.649776453
Median Absolute Deviation (MAD)2
Skewness-0.5991275986
Sum3556
Variance6.053240069
MonotonicityNot monotonic
2025-02-26T17:42:13.431398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 516
38.5%
3 398
29.7%
-1 386
28.8%
4 42
 
3.1%
ValueCountFrequency (%)
-1 386
28.8%
3 398
29.7%
4 42
 
3.1%
5 516
38.5%
ValueCountFrequency (%)
5 516
38.5%
4 42
 
3.1%
3 398
29.7%
-1 386
28.8%

w1_lastpage
Real number (ℝ)

Missing 

last page

Distinct14
Distinct (%)1.5%
Missing386
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean10.36401674
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:13.467425image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median15
Q315
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.698839983
Coefficient of variation (CV)0.5498678869
Kurtosis-1.446110764
Mean10.36401674
Median Absolute Deviation (MAD)0
Skewness-0.5960395565
Sum9908
Variance32.47677715
MonotonicityNot monotonic
2025-02-26T17:42:13.506412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
15 516
38.5%
1 113
 
8.4%
3 109
 
8.1%
4 71
 
5.3%
9 39
 
2.9%
14 22
 
1.6%
13 20
 
1.5%
10 18
 
1.3%
6 13
 
1.0%
5 12
 
0.9%
Other values (4) 23
 
1.7%
(Missing) 386
28.8%
ValueCountFrequency (%)
1 113
8.4%
3 109
8.1%
4 71
5.3%
5 12
 
0.9%
6 13
 
1.0%
ValueCountFrequency (%)
15 516
38.5%
14 22
 
1.6%
13 20
 
1.5%
12 5
 
0.4%
11 3
 
0.2%

w1_submitdate
Date

Missing 

date of submission

Distinct516
Distinct (%)100.0%
Missing826
Missing (%)61.5%
Memory size10.6 KiB
Minimum2020-09-29 13:31:07
Maximum2020-11-30 12:57:47
2025-02-26T17:42:13.553857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:42:13.661580image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_startlanguage
Text

Constant 

start language

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2025-02-26T17:42:13.693201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2684
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowes
2nd rowes
3rd rowes
4th rowes
5th rowes
ValueCountFrequency (%)
es 1342
100.0%
2025-02-26T17:42:13.763327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1342
50.0%
s 1342
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2684
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1342
50.0%
s 1342
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2684
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1342
50.0%
s 1342
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2684
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1342
50.0%
s 1342
50.0%

w1_startdate
Date

Start date

Distinct1336
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
Minimum2020-09-29 13:12:23
Maximum2020-11-30 12:54:32
2025-02-26T17:42:13.814695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:42:13.870020image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_datestamp
Date

datestamp

Distinct1338
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
Minimum2020-09-29 13:12:23
Maximum2020-11-30 12:57:47
2025-02-26T17:42:13.922959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:42:13.978366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_refurl
Text

Missing 

reference url

Distinct3
Distinct (%)1.4%
Missing1133
Missing (%)84.4%
Memory size13.2 KiB
2025-02-26T17:42:14.050731image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.02392344
Min length4

Characters and Unicode

Total characters2513
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowandroid-gmail
2nd rowandroid-gmail
3rd rowandroid-gmail
4th rowandroid-gmail
5th rowandroid-gmail
ValueCountFrequency (%)
android-gmail 185
88.5%
mail 22
 
10.5%
limesurvey 2
 
1.0%
2025-02-26T17:42:14.162154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 394
15.7%
a 392
15.6%
d 370
14.7%
m 209
8.3%
l 209
8.3%
r 187
7.4%
n 185
7.4%
o 185
7.4%
- 185
7.4%
g 185
7.4%
Other values (5) 12
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2513
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 394
15.7%
a 392
15.6%
d 370
14.7%
m 209
8.3%
l 209
8.3%
r 187
7.4%
n 185
7.4%
o 185
7.4%
- 185
7.4%
g 185
7.4%
Other values (5) 12
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2513
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 394
15.7%
a 392
15.6%
d 370
14.7%
m 209
8.3%
l 209
8.3%
r 187
7.4%
n 185
7.4%
o 185
7.4%
- 185
7.4%
g 185
7.4%
Other values (5) 12
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2513
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 394
15.7%
a 392
15.6%
d 370
14.7%
m 209
8.3%
l 209
8.3%
r 187
7.4%
n 185
7.4%
o 185
7.4%
- 185
7.4%
g 185
7.4%
Other values (5) 12
 
0.5%

w1_A00_1
Real number (ℝ)

Missing 

Having read the informative and the privacy policy in the email (also linked below) ...do you agree to participate in the WENET-Internet of us survey and tell us about your experience as a student at the University of […]?

Distinct2
Distinct (%)0.2%
Missing386
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean1.054393305
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:14.202283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2269108461
Coefficient of variation (CV)0.2152051278
Kurtosis13.51900975
Mean1.054393305
Median Absolute Deviation (MAD)0
Skewness3.935826676
Sum1008
Variance0.05148853206
MonotonicityNot monotonic
2025-02-26T17:42:14.240243image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 904
67.4%
2 52
 
3.9%
(Missing) 386
28.8%
ValueCountFrequency (%)
1 904
67.4%
2 52
 
3.9%
ValueCountFrequency (%)
2 52
 
3.9%
1 904
67.4%

w1_A00_2
Real number (ℝ)

Missing 

Having read the informative and the privacy policy in the email (also linked below) ...do you authorize access to your university administrative data?

Distinct2
Distinct (%)0.2%
Missing386
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean1.166317992
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:14.275941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3725607429
Coefficient of variation (CV)0.3194332468
Kurtosis1.22474251
Mean1.166317992
Median Absolute Deviation (MAD)0
Skewness1.795044474
Sum1115
Variance0.1388015072
MonotonicityNot monotonic
2025-02-26T17:42:14.314204image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 797
59.4%
2 159
 
11.8%
(Missing) 386
28.8%
ValueCountFrequency (%)
1 797
59.4%
2 159
 
11.8%
ValueCountFrequency (%)
2 159
 
11.8%
1 797
59.4%

w1_A01
Real number (ℝ)

Missing 

Which gender were you born? 1. Male, 2. Female?

Distinct2
Distinct (%)0.3%
Missing545
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean1.634880803
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:14.349987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4817659017
Coefficient of variation (CV)0.294679527
Kurtosis-1.68912897
Mean1.634880803
Median Absolute Deviation (MAD)0
Skewness-0.5613519982
Sum1303
Variance0.232098384
MonotonicityNot monotonic
2025-02-26T17:42:14.387051image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 506
37.7%
1 291
21.7%
(Missing) 545
40.6%
ValueCountFrequency (%)
1 291
21.7%
2 506
37.7%
ValueCountFrequency (%)
2 506
37.7%
1 291
21.7%

w1_A02
Real number (ℝ)

Missing  Skewed 

When were you born? Year:

Distinct35
Distinct (%)4.4%
Missing549
Missing (%)40.9%
Infinite0
Infinite (%)0.0%
Mean1993.941992
Minimum25
Maximum2002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:14.429752image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile1985
Q11995
median1998
Q32000
95-th percentile2002
Maximum2002
Range1977
Interquartile range (IQR)5

Descriptive statistics

Standard deviation70.25186769
Coefficient of variation (CV)0.03523265369
Kurtosis781.9808868
Mean1993.941992
Median Absolute Deviation (MAD)2
Skewness-27.86819728
Sum1581196
Variance4935.324914
MonotonicityNot monotonic
2025-02-26T17:42:14.478538image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
2001 110
 
8.2%
1999 104
 
7.7%
2000 94
 
7.0%
1998 86
 
6.4%
1997 70
 
5.2%
1996 56
 
4.2%
2002 50
 
3.7%
1995 41
 
3.1%
1994 33
 
2.5%
1993 22
 
1.6%
Other values (25) 127
 
9.5%
(Missing) 549
40.9%
ValueCountFrequency (%)
25 1
0.1%
1956 1
0.1%
1959 1
0.1%
1964 1
0.1%
1965 2
0.1%
ValueCountFrequency (%)
2002 50
3.7%
2001 110
8.2%
2000 94
7.0%
1999 104
7.7%
1998 86
6.4%

w1_A03
Real number (ℝ)

Missing 

What is your nationality? [List, see Appendix]

Distinct11
Distinct (%)1.2%
Missing438
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean154.8340708
Minimum4
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:14.520437image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile157
Q1157
median157
Q3157
95-th percentile157
Maximum159
Range155
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.0222677
Coefficient of variation (CV)0.1099387726
Kurtosis63.78279975
Mean154.8340708
Median Absolute Deviation (MAD)0
Skewness-8.02359456
Sum139970
Variance289.7575976
MonotonicityNot monotonic
2025-02-26T17:42:14.560733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
157 885
65.9%
8 8
 
0.6%
159 2
 
0.1%
29 2
 
0.1%
4 1
 
0.1%
52 1
 
0.1%
158 1
 
0.1%
111 1
 
0.1%
45 1
 
0.1%
80 1
 
0.1%
(Missing) 438
32.6%
ValueCountFrequency (%)
4 1
 
0.1%
8 8
0.6%
29 2
 
0.1%
45 1
 
0.1%
52 1
 
0.1%
ValueCountFrequency (%)
159 2
 
0.1%
158 1
 
0.1%
157 885
65.9%
135 1
 
0.1%
111 1
 
0.1%

w1_A03JLU
Unsupported

Missing  Rejected  Unsupported 

What is your nationality? [List, see Appendix]

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A04AMRITA
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer:

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A04AMRITA_other
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer:

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A04AAU
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04AAU. [List, see Appendix]:1. Electronic Systems 2. Architecture, Design and Media Technology 3. Chemistry and Bioscience 4. Communication and Psychology 5. Culture and Learning 6. Planning 7. Mathematical Sciences 8. Materials and Production 9. Business and Management 10. Sociology and Social Work 11. Political Science 12. Clinical Medicine 13. Built Environment

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A04JLU
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04JLU. [List, see Appendix]1. School of Philosophy and Society 2. Art college 3. Archaeological Institute 4. Foreign Language School 5. Art Academy 6. Sports Academy 7. School of Mathematics 8. School of Physics 9. School of Chemistry 10. College of Life Sciences 11. School of Electronic Science and Engineering 12. School of Communication Engineering 13. School of Computer Science and Technology 14. Software College 15. School of Economics 16. Law school 17. School of Administration 18. Business school 19. Institute of Finance 20. School of Mechanical Engineering 21. School of Automotive Engineering 22. material science and Engineering School 23. Jiaotong University 24. College of Biological and Agricultural Engineering 25. School of Management 26. School of Food Science and Engineering 27. School of Earth Sciences 28. School of Earth Exploration Science and Technology 29. School of Construction Engineering 30. School of New Energy and Environment 31. School of Instrument Science and Electrical Engineering 32. Basic Medical School 33. School of Public Health 34. College of Pharmacy 35. School of Nursing 36. School of Clinical Medicine 37. Bethune First Hospital 38. Bethune Second Hospital 39. Bethune Third Hospital 40. Bethune Dental Hospital 41. School of Animal Medicine 42. Faculty of Plant Science 43. College of Animal Science 44. Artificial Intelligence Academy

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A04LSE
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04LSE. [List, see Appendix]1. Department of Accounting 2. Department of Anthropology 3. Department of Economics 4. Department of Economic History 5. European Institute 6. Department of Finance 7. Department of Gender Studies 8. Department of Geography and Environment 9. Institute of Global Affairs (IGA) 10. Department of Government 11. Department of Health Policy 12. Department of International Development 13. Department of International History 14. International Inequalities Institute 15. Department of International Relations 16. Language Centre 17. Department of Law 18. Department of Management 19. Marshall Institute 20. Department of Mathematics 21. Department of Media and Communications 22. Department of Methodology 23. Department of Philosophy, Logic and Scientific Method 24. Department of Psychological and Behavioural Science 25. School of Public Policy (formerly Institute of Public Affairs) 26. Department of Social Policy 27. Department of Sociology 28. Department of Statistics

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A04NUM
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04NUM. [List, see Appendix]1. Business School 2. School of International Relations and Public Administration 3. School of Law 4. School of Engineering and Applied Sciences 5. School of Sciences – Division of Social Sciences 6. School of Sciences – Division of Natural Sciences 7. School of Sciences – Division of Humanities

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A04UC
Real number (ℝ)

Missing 

Question: In what faculty/department are you studying? | Answer: A04UC. [List, see Appendix]1. Facultad de Ciencias Contables, Administrativas y Económicas 2. Facultad de Ciencias y Tecnología 3. Facultad de Ciencias de la Salud 4. Facultad de Ciencias Jurídicas y Diplomáticas 5. Facultad de Filosofía y Ciencias Humanas

Distinct5
Distinct (%)0.6%
Missing565
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean2.48005148
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:14.600109image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.246614383
Coefficient of variation (CV)0.5026566557
Kurtosis-0.4785153961
Mean2.48005148
Median Absolute Deviation (MAD)1
Skewness0.5937426368
Sum1927
Variance1.55404742
MonotonicityNot monotonic
2025-02-26T17:42:14.639346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 225
 
16.8%
2 218
 
16.2%
1 202
 
15.1%
5 86
 
6.4%
4 46
 
3.4%
(Missing) 565
42.1%
ValueCountFrequency (%)
1 202
15.1%
2 218
16.2%
3 225
16.8%
4 46
 
3.4%
5 86
 
6.4%
ValueCountFrequency (%)
5 86
 
6.4%
4 46
 
3.4%
3 225
16.8%
2 218
16.2%
1 202
15.1%

w1_A04UNITN
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04UNITN. [List, see Appendix]1. CIBIO 2. Economics and Management 3. Faculty of Law 4. Physics 5. Civil, Environmental and Mechanical Engineering 6. Information Engineering and Computer Science 7. Industrial Engineering 8. Humanities 9. Mathematics 10. Psychology and Cognitive Science 11. Sociology and Social Research 12. Center Agriculture Food Environment 13. CIMeC - Centre for Mind/Brain Sciences 14. SSI - School of International Studies 15. Other structures

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A04IPICYT
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04IPICYT. [List, see Appendix]

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A05
Real number (ℝ)

Missing 

Type of degree: 1. BSc, 2. MSc, 3.PhD

Distinct2
Distinct (%)0.3%
Missing547
Missing (%)40.8%
Infinite0
Infinite (%)0.0%
Mean1.050314465
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:14.679608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.3
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2187306562
Coefficient of variation (CV)0.208252541
Kurtosis15.02987905
Mean1.050314465
Median Absolute Deviation (MAD)0
Skewness4.122144375
Sum835
Variance0.04784309998
MonotonicityNot monotonic
2025-02-26T17:42:14.717729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 755
56.3%
2 40
 
3.0%
(Missing) 547
40.8%
ValueCountFrequency (%)
1 755
56.3%
2 40
 
3.0%
ValueCountFrequency (%)
2 40
 
3.0%
1 755
56.3%

w1_A05UNITN
Unsupported

Missing  Rejected  Unsupported 

Type of degree: 1. BSc, 2. MSc, 3. 5 years

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A05AMRITA
Unsupported

Missing  Rejected  Unsupported 

Type of degree: 1. BSc, 2. MSc, 3.M.B.B.S, 4.MBA, 5.M.Tech, 6.B.Tech, 7.Integrated degree, 8.MHA, 9.B.Pharm, 10.M.D, 11.B.A.M.S, 12.BCA, 13.M.Pharm, 14.MCA, 15.M.S, 16.Mch

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A06
Real number (ℝ)

Missing 

Programme: 1. Full Time, 2. Part Time

Distinct2
Distinct (%)0.3%
Missing550
Missing (%)41.0%
Infinite0
Infinite (%)0.0%
Mean1.386363636
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:14.755423image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4872232623
Coefficient of variation (CV)0.3514397302
Kurtosis-1.785823097
Mean1.386363636
Median Absolute Deviation (MAD)0
Skewness0.4676461879
Sum1098
Variance0.2373865073
MonotonicityNot monotonic
2025-02-26T17:42:14.792884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 486
36.2%
2 306
22.8%
(Missing) 550
41.0%
ValueCountFrequency (%)
1 486
36.2%
2 306
22.8%
ValueCountFrequency (%)
2 306
22.8%
1 486
36.2%

w1_A07
Real number (ℝ)

Missing 

[Not for LSE if A05=2 AND A06=1] Course year

Distinct6
Distinct (%)0.8%
Missing568
Missing (%)42.3%
Infinite0
Infinite (%)0.0%
Mean2.95994832
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:14.829295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.610829456
Coefficient of variation (CV)0.5442086421
Kurtosis-1.127233519
Mean2.95994832
Median Absolute Deviation (MAD)1
Skewness0.2867422916
Sum2291
Variance2.594771537
MonotonicityNot monotonic
2025-02-26T17:42:14.867106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 204
 
15.2%
2 137
 
10.2%
3 136
 
10.1%
4 133
 
9.9%
5 111
 
8.3%
6 53
 
3.9%
(Missing) 568
42.3%
ValueCountFrequency (%)
1 204
15.2%
2 137
10.2%
3 136
10.1%
4 133
9.9%
5 111
8.3%
ValueCountFrequency (%)
6 53
 
3.9%
5 111
8.3%
4 133
9.9%
3 136
10.1%
2 137
10.2%

w1_A08
Real number (ℝ)

Missing 

You are: 1. Regularly enrolled for a BAs/MAs degree, 2. Register on supplementary year

Distinct2
Distinct (%)0.3%
Missing564
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean1.095115681
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:14.902739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2935633815
Coefficient of variation (CV)0.2680660925
Kurtosis5.662656297
Mean1.095115681
Median Absolute Deviation (MAD)0
Skewness2.765520911
Sum852
Variance0.08617945893
MonotonicityNot monotonic
2025-02-26T17:42:14.941640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 704
52.5%
2 74
 
5.5%
(Missing) 564
42.0%
ValueCountFrequency (%)
1 704
52.5%
2 74
 
5.5%
ValueCountFrequency (%)
2 74
 
5.5%
1 704
52.5%

w1_A09
Unsupported

Missing  Rejected  Unsupported 

[Not for LSE, NUM, UC and UNITN] Where do you live during term time?: 1. In the town where the university is located. 2. Close to the city where the university is located (less than 1.30 hours of travel). [go to A11] 3. In another city away from where the university is located (more than 1.30 hours of travel) [go to A11] 4. Abroad (e.g., Erasmus student) [go to B01]

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A09UNITN
Unsupported

Missing  Rejected  Unsupported 

Where do you live during term time? [See Appendix] 1. Trento [go to A10UNITN] 2. Rovereto 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A09UC
Real number (ℝ)

Missing 

Where do you live during term time? [See Appendix]1. Asunción [go to A10UC] 2. In the town where the university is located. 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)

Distinct5
Distinct (%)0.6%
Missing550
Missing (%)41.0%
Infinite0
Infinite (%)0.0%
Mean2.15530303
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:14.978474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.068984494
Coefficient of variation (CV)0.4959787457
Kurtosis-1.113991413
Mean2.15530303
Median Absolute Deviation (MAD)1
Skewness0.3785997219
Sum1707
Variance1.142727847
MonotonicityNot monotonic
2025-02-26T17:42:15.018945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 291
21.7%
3 202
 
15.1%
2 194
 
14.5%
4 103
 
7.7%
5 2
 
0.1%
(Missing) 550
41.0%
ValueCountFrequency (%)
1 291
21.7%
2 194
14.5%
3 202
15.1%
4 103
 
7.7%
5 2
 
0.1%
ValueCountFrequency (%)
5 2
 
0.1%
4 103
 
7.7%
3 202
15.1%
2 194
14.5%
1 291
21.7%

w1_A10UNITN
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? And exactly in which district of the town do you live? [See Appendix]1. Center (from Cristo Re/San Martino to Fersina) 2. Piedicastello/Vela 3. Trento North (from Gardolo to loc.Solteri/Via Brennero/Via Maccani) 4. North of Gardolo (Lavis, Meano, Spini) 5. Argentario (Cognola/Martignano/Montevaccino/Villamontagna) 6. East hill (Mesiano/Povo/Oltrecastello/San Donà/Cognola/Villazzano) 7. Trento South (Bolghera/Clarina/San Bartolomeo/Madonna Bianca/Villazzano Tre) 8. Mattarello/Ravina/Romagnano 9. Bondone/Cadine/Sardagna/Sopramonte

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A10AAU
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? And exactly in which neighbourhood of the town do you live? [See Appendix]1. Vesterbro/Kongens Enghave 2. Nørrebro 3. Østerbro 4. Amager Øst 5. Amager Vest 6. Valby 7. Bispebjerg 8. Vanløse 9. Brønshøj-Husum

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A10NUM
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? Please, enter the zip code of where you live during term time [See Appendix]

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A10LSE
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? What is your first three digits of post code? [See Appendix]1. London Central (30 minutes from LSE) 2. Outer London (1hour from LSE) 3. Outside London

Missing1342
Missing (%)100.0%
Memory size10.8 KiB

w1_A10UC
Real number (ℝ)

Missing 

And exactly in which neighbourhood of the town do you live? What area exactly do you live in? [See Appendix]1. Centro 2. Sajonia 3. San Vicente y Santa Ana 4. Mcal López1 (entre Brasil y Gral Santos) 5. España1 (entre Brasil y Gral Santos) 6. Mcal López2 (entre Gral Santos y Rca. Argentina) 7. España2 (entre Gral Santos y Rca. Argentina) 8. Pinoza/ Seminario 9. Los Laureles 10. Shopping del Sol hasta calle Última 11. Trinidad 12. Loma Pyta

Distinct12
Distinct (%)4.2%
Missing1059
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean5.339222615
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:15.061157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q39
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.719526122
Coefficient of variation (CV)0.6966418878
Kurtosis-1.444459517
Mean5.339222615
Median Absolute Deviation (MAD)3
Skewness0.3141515348
Sum1511
Variance13.83487457
MonotonicityNot monotonic
2025-02-26T17:42:15.099801image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 56
 
4.2%
3 44
 
3.3%
2 36
 
2.7%
11 29
 
2.2%
9 25
 
1.9%
10 24
 
1.8%
6 23
 
1.7%
8 15
 
1.1%
5 10
 
0.7%
7 9
 
0.7%
Other values (2) 12
 
0.9%
(Missing) 1059
78.9%
ValueCountFrequency (%)
1 56
4.2%
2 36
2.7%
3 44
3.3%
4 6
 
0.4%
5 10
 
0.7%
ValueCountFrequency (%)
12 6
 
0.4%
11 29
2.2%
10 24
1.8%
9 25
1.9%
8 15
1.1%

w1_A10IPICYT
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? In which area do you live? [See Appendix]

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A11NUM
Unsupported

Missing  Rejected  Unsupported 

What kind of accommodation are you living in? [See Appendix]1. University dormitory (dormitory) 2. In the university apartment 3. Dormitory (Private dormitory) 4. Rental apartment / house 5. Own apartment or house (may be yours, parents 'or relatives') 6. As a private guest / guest (adjoining room for rent) 7. As a friend or guest of friends 8. Mongolian ger and fence 9. Fence in the house

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_A11
Real number (ℝ)

Missing 

What kind of accommodation are you living in? 1. University students’ Residence (dormitory) (e.g. LSE Hall of Residence, San Bartolameo, Danmarks Internationale Kollegium) 2. University flat 3. University campus4. A private sector Hall of Residence (Private students’ dormitory)5. Rental house/flat 6. in a house/apartment owned (by you, your parents, or relatives) 7. guest of a private person8. guest of friend or friends

Distinct8
Distinct (%)1.0%
Missing554
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean5.789340102
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:15.136492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5868426673
Coefficient of variation (CV)0.1013660723
Kurtosis19.96806321
Mean5.789340102
Median Absolute Deviation (MAD)0
Skewness-2.870165362
Sum4562
Variance0.3443843162
MonotonicityNot monotonic
2025-02-26T17:42:15.175535image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 609
45.4%
5 153
 
11.4%
7 12
 
0.9%
8 4
 
0.3%
4 4
 
0.3%
1 3
 
0.2%
3 2
 
0.1%
2 1
 
0.1%
(Missing) 554
41.3%
ValueCountFrequency (%)
1 3
 
0.2%
2 1
 
0.1%
3 2
 
0.1%
4 4
 
0.3%
5 153
11.4%
ValueCountFrequency (%)
8 4
 
0.3%
7 12
 
0.9%
6 609
45.4%
5 153
 
11.4%
4 4
 
0.3%

w1_B01_1
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am the life of the party

Distinct5
Distinct (%)0.7%
Missing664
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean2.805309735
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:15.214950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.182279853
Coefficient of variation (CV)0.4214436068
Kurtosis-0.8333122779
Mean2.805309735
Median Absolute Deviation (MAD)1
Skewness-0.1078357349
Sum1902
Variance1.39778565
MonotonicityNot monotonic
2025-02-26T17:42:15.255305image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 255
 
19.0%
4 145
 
10.8%
1 137
 
10.2%
2 95
 
7.1%
5 46
 
3.4%
(Missing) 664
49.5%
ValueCountFrequency (%)
1 137
10.2%
2 95
 
7.1%
3 255
19.0%
4 145
10.8%
5 46
 
3.4%
ValueCountFrequency (%)
5 46
 
3.4%
4 145
10.8%
3 255
19.0%
2 95
 
7.1%
1 137
10.2%

w1_B01_2
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Sympathize with others’ feelings

Distinct5
Distinct (%)0.7%
Missing664
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean4.095870206
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:15.295361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9451488801
Coefficient of variation (CV)0.2307565505
Kurtosis1.344606666
Mean4.095870206
Median Absolute Deviation (MAD)1
Skewness-1.171299232
Sum2777
Variance0.8933064056
MonotonicityNot monotonic
2025-02-26T17:42:15.337269image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 282
21.0%
5 261
 
19.4%
3 90
 
6.7%
2 29
 
2.2%
1 16
 
1.2%
(Missing) 664
49.5%
ValueCountFrequency (%)
1 16
 
1.2%
2 29
 
2.2%
3 90
 
6.7%
4 282
21.0%
5 261
19.4%
ValueCountFrequency (%)
5 261
19.4%
4 282
21.0%
3 90
 
6.7%
2 29
 
2.2%
1 16
 
1.2%

w1_B01_3
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get chores done right away

Distinct5
Distinct (%)0.7%
Missing665
Missing (%)49.6%
Infinite0
Infinite (%)0.0%
Mean3.574593796
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:15.376748image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.101023605
Coefficient of variation (CV)0.3080136283
Kurtosis-0.501734269
Mean3.574593796
Median Absolute Deviation (MAD)1
Skewness-0.4735869721
Sum2420
Variance1.212252978
MonotonicityNot monotonic
2025-02-26T17:42:15.416935image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 237
 
17.7%
3 171
 
12.7%
5 150
 
11.2%
2 90
 
6.7%
1 29
 
2.2%
(Missing) 665
49.6%
ValueCountFrequency (%)
1 29
 
2.2%
2 90
 
6.7%
3 171
12.7%
4 237
17.7%
5 150
11.2%
ValueCountFrequency (%)
5 150
11.2%
4 237
17.7%
3 171
12.7%
2 90
 
6.7%
1 29
 
2.2%

w1_B01_4
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have frequent mood swings

Distinct5
Distinct (%)0.7%
Missing667
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean2.887407407
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:15.456048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.250188688
Coefficient of variation (CV)0.4329796636
Kurtosis-0.9588883109
Mean2.887407407
Median Absolute Deviation (MAD)1
Skewness0.1133143357
Sum1949
Variance1.562971755
MonotonicityNot monotonic
2025-02-26T17:42:15.498010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 189
 
14.1%
2 163
 
12.1%
4 131
 
9.8%
1 107
 
8.0%
5 85
 
6.3%
(Missing) 667
49.7%
ValueCountFrequency (%)
1 107
8.0%
2 163
12.1%
3 189
14.1%
4 131
9.8%
5 85
6.3%
ValueCountFrequency (%)
5 85
6.3%
4 131
9.8%
3 189
14.1%
2 163
12.1%
1 107
8.0%

w1_B01_5
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have a vivid imagination

Distinct5
Distinct (%)0.7%
Missing668
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean3.577151335
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:15.603071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.125477036
Coefficient of variation (CV)0.3146294162
Kurtosis-0.2931190784
Mean3.577151335
Median Absolute Deviation (MAD)1
Skewness-0.5818693434
Sum2411
Variance1.26669856
MonotonicityNot monotonic
2025-02-26T17:42:15.642621image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 235
 
17.5%
3 179
 
13.3%
5 152
 
11.3%
2 66
 
4.9%
1 42
 
3.1%
(Missing) 668
49.8%
ValueCountFrequency (%)
1 42
 
3.1%
2 66
 
4.9%
3 179
13.3%
4 235
17.5%
5 152
11.3%
ValueCountFrequency (%)
5 152
11.3%
4 235
17.5%
3 179
13.3%
2 66
 
4.9%
1 42
 
3.1%

w1_B01_6
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Don’t talk a lot

Distinct5
Distinct (%)0.7%
Missing667
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean2.863703704
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:15.682225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.320608585
Coefficient of variation (CV)0.4611540583
Kurtosis-1.116055718
Mean2.863703704
Median Absolute Deviation (MAD)1
Skewness0.03123417915
Sum1933
Variance1.744007034
MonotonicityNot monotonic
2025-02-26T17:42:15.723216image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 180
 
13.4%
1 144
 
10.7%
4 143
 
10.7%
2 121
 
9.0%
5 87
 
6.5%
(Missing) 667
49.7%
ValueCountFrequency (%)
1 144
10.7%
2 121
9.0%
3 180
13.4%
4 143
10.7%
5 87
6.5%
ValueCountFrequency (%)
5 87
6.5%
4 143
10.7%
3 180
13.4%
2 121
9.0%
1 144
10.7%

w1_B01_7
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in other people’s problems

Distinct5
Distinct (%)0.7%
Missing667
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean2.542222222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:15.763930image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.271431509
Coefficient of variation (CV)0.5001260305
Kurtosis-0.8374169339
Mean2.542222222
Median Absolute Deviation (MAD)1
Skewness0.4156338714
Sum1716
Variance1.616538081
MonotonicityNot monotonic
2025-02-26T17:42:15.805530image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 178
 
13.3%
3 173
 
12.9%
2 171
 
12.7%
4 88
 
6.6%
5 65
 
4.8%
(Missing) 667
49.7%
ValueCountFrequency (%)
1 178
13.3%
2 171
12.7%
3 173
12.9%
4 88
6.6%
5 65
 
4.8%
ValueCountFrequency (%)
5 65
 
4.8%
4 88
6.6%
3 173
12.9%
2 171
12.7%
1 178
13.3%

w1_B01_8
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Often forget to put things back in their proper place

Distinct5
Distinct (%)0.7%
Missing667
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean2.742222222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:15.846511image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.300049455
Coefficient of variation (CV)0.474086106
Kurtosis-1.065625944
Mean2.742222222
Median Absolute Deviation (MAD)1
Skewness0.2062242545
Sum1851
Variance1.690128586
MonotonicityNot monotonic
2025-02-26T17:42:15.887953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 164
 
12.2%
3 160
 
11.9%
1 146
 
10.9%
4 128
 
9.5%
5 77
 
5.7%
(Missing) 667
49.7%
ValueCountFrequency (%)
1 146
10.9%
2 164
12.2%
3 160
11.9%
4 128
9.5%
5 77
5.7%
ValueCountFrequency (%)
5 77
5.7%
4 128
9.5%
3 160
11.9%
2 164
12.2%
1 146
10.9%

w1_B01_9
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am relaxed most of the time

Distinct5
Distinct (%)0.7%
Missing670
Missing (%)49.9%
Infinite0
Infinite (%)0.0%
Mean2.758928571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:15.927931image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.272749133
Coefficient of variation (CV)0.4613200741
Kurtosis-1.078672731
Mean2.758928571
Median Absolute Deviation (MAD)1
Skewness0.1199961903
Sum1854
Variance1.619890356
MonotonicityNot monotonic
2025-02-26T17:42:15.969124image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 164
 
12.2%
2 154
 
11.5%
4 148
 
11.0%
1 142
 
10.6%
5 64
 
4.8%
(Missing) 670
49.9%
ValueCountFrequency (%)
1 142
10.6%
2 154
11.5%
3 164
12.2%
4 148
11.0%
5 64
 
4.8%
ValueCountFrequency (%)
5 64
 
4.8%
4 148
11.0%
3 164
12.2%
2 154
11.5%
1 142
10.6%

w1_B01_10
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in abstract ideas

Distinct5
Distinct (%)0.7%
Missing671
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean2.549925484
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.008787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.059482763
Coefficient of variation (CV)0.4154955781
Kurtosis-0.4127167059
Mean2.549925484
Median Absolute Deviation (MAD)1
Skewness0.2500484167
Sum1711
Variance1.122503726
MonotonicityNot monotonic
2025-02-26T17:42:16.049966image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 251
 
18.7%
2 187
 
13.9%
1 126
 
9.4%
4 77
 
5.7%
5 30
 
2.2%
(Missing) 671
50.0%
ValueCountFrequency (%)
1 126
9.4%
2 187
13.9%
3 251
18.7%
4 77
 
5.7%
5 30
 
2.2%
ValueCountFrequency (%)
5 30
 
2.2%
4 77
 
5.7%
3 251
18.7%
2 187
13.9%
1 126
9.4%

w1_B01_11
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Talk to a lot of different people at parties

Distinct5
Distinct (%)0.7%
Missing670
Missing (%)49.9%
Infinite0
Infinite (%)0.0%
Mean2.544642857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.089332image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.325357818
Coefficient of variation (CV)0.5208423704
Kurtosis-1.055181347
Mean2.544642857
Median Absolute Deviation (MAD)1
Skewness0.3579997436
Sum1710
Variance1.756573345
MonotonicityNot monotonic
2025-02-26T17:42:16.129402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 200
 
14.9%
3 149
 
11.1%
2 147
 
11.0%
4 111
 
8.3%
5 65
 
4.8%
(Missing) 670
49.9%
ValueCountFrequency (%)
1 200
14.9%
2 147
11.0%
3 149
11.1%
4 111
8.3%
5 65
 
4.8%
ValueCountFrequency (%)
5 65
 
4.8%
4 111
8.3%
3 149
11.1%
2 147
11.0%
1 200
14.9%

w1_B01_12
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Feel others’ emotions

Distinct5
Distinct (%)0.7%
Missing673
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean3.756352765
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.168284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.031890815
Coefficient of variation (CV)0.2747055134
Kurtosis0.151989921
Mean3.756352765
Median Absolute Deviation (MAD)1
Skewness-0.7617308984
Sum2513
Variance1.064798654
MonotonicityNot monotonic
2025-02-26T17:42:16.208153image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 284
21.2%
5 164
 
12.2%
3 139
 
10.4%
2 58
 
4.3%
1 24
 
1.8%
(Missing) 673
50.1%
ValueCountFrequency (%)
1 24
 
1.8%
2 58
 
4.3%
3 139
10.4%
4 284
21.2%
5 164
12.2%
ValueCountFrequency (%)
5 164
12.2%
4 284
21.2%
3 139
10.4%
2 58
 
4.3%
1 24
 
1.8%

w1_B01_13
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Like order

Distinct5
Distinct (%)0.7%
Missing672
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean4.117910448
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.248170image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.015342008
Coefficient of variation (CV)0.2465672873
Kurtosis0.8857123674
Mean4.117910448
Median Absolute Deviation (MAD)1
Skewness-1.148795849
Sum2759
Variance1.030919394
MonotonicityNot monotonic
2025-02-26T17:42:16.289117image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 302
22.5%
4 213
 
15.9%
3 106
 
7.9%
2 30
 
2.2%
1 19
 
1.4%
(Missing) 672
50.1%
ValueCountFrequency (%)
1 19
 
1.4%
2 30
 
2.2%
3 106
 
7.9%
4 213
15.9%
5 302
22.5%
ValueCountFrequency (%)
5 302
22.5%
4 213
15.9%
3 106
 
7.9%
2 30
 
2.2%
1 19
 
1.4%

w1_B01_14
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get upset easily

Distinct5
Distinct (%)0.7%
Missing675
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean2.943028486
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.330531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.274510495
Coefficient of variation (CV)0.4330608761
Kurtosis-1.006079843
Mean2.943028486
Median Absolute Deviation (MAD)1
Skewness0.06767027315
Sum1963
Variance1.624377001
MonotonicityNot monotonic
2025-02-26T17:42:16.371938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 186
 
13.9%
2 150
 
11.2%
4 130
 
9.7%
1 105
 
7.8%
5 96
 
7.2%
(Missing) 675
50.3%
ValueCountFrequency (%)
1 105
7.8%
2 150
11.2%
3 186
13.9%
4 130
9.7%
5 96
7.2%
ValueCountFrequency (%)
5 96
7.2%
4 130
9.7%
3 186
13.9%
2 150
11.2%
1 105
7.8%

w1_B01_15
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have difficulty understanding abstract ideas

Distinct5
Distinct (%)0.7%
Missing672
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean2.511940299
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.413317image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.090387733
Coefficient of variation (CV)0.4340818662
Kurtosis-0.5666878574
Mean2.511940299
Median Absolute Deviation (MAD)1
Skewness0.3371149251
Sum1683
Variance1.188945407
MonotonicityNot monotonic
2025-02-26T17:42:16.453418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 213
 
15.9%
3 201
 
15.0%
1 133
 
9.9%
4 94
 
7.0%
5 29
 
2.2%
(Missing) 672
50.1%
ValueCountFrequency (%)
1 133
9.9%
2 213
15.9%
3 201
15.0%
4 94
7.0%
5 29
 
2.2%
ValueCountFrequency (%)
5 29
 
2.2%
4 94
7.0%
3 201
15.0%
2 213
15.9%
1 133
9.9%

w1_B01_16
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Keep in the background

Distinct5
Distinct (%)0.7%
Missing674
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean2.877245509
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.492367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.037479164
Coefficient of variation (CV)0.3605806877
Kurtosis-0.2966221725
Mean2.877245509
Median Absolute Deviation (MAD)1
Skewness0.004880811352
Sum1922
Variance1.076363016
MonotonicityNot monotonic
2025-02-26T17:42:16.533808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 294
21.9%
2 139
 
10.4%
4 117
 
8.7%
1 74
 
5.5%
5 44
 
3.3%
(Missing) 674
50.2%
ValueCountFrequency (%)
1 74
 
5.5%
2 139
10.4%
3 294
21.9%
4 117
 
8.7%
5 44
 
3.3%
ValueCountFrequency (%)
5 44
 
3.3%
4 117
 
8.7%
3 294
21.9%
2 139
10.4%
1 74
 
5.5%

w1_B01_17
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not really interested in others

Distinct5
Distinct (%)0.7%
Missing673
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean2.043348281
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.573640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.135796761
Coefficient of variation (CV)0.5558507921
Kurtosis0.1087061418
Mean2.043348281
Median Absolute Deviation (MAD)1
Skewness0.9539283979
Sum1367
Variance1.290034281
MonotonicityNot monotonic
2025-02-26T17:42:16.614297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 278
20.7%
2 193
 
14.4%
3 119
 
8.9%
4 49
 
3.7%
5 30
 
2.2%
(Missing) 673
50.1%
ValueCountFrequency (%)
1 278
20.7%
2 193
14.4%
3 119
8.9%
4 49
 
3.7%
5 30
 
2.2%
ValueCountFrequency (%)
5 30
 
2.2%
4 49
 
3.7%
3 119
8.9%
2 193
14.4%
1 278
20.7%

w1_B01_18
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Make a mess of things

Distinct5
Distinct (%)0.7%
Missing672
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean1.774626866
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.653748image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.056666966
Coefficient of variation (CV)0.5954305024
Kurtosis0.4477177047
Mean1.774626866
Median Absolute Deviation (MAD)0
Skewness1.191588392
Sum1189
Variance1.116545077
MonotonicityNot monotonic
2025-02-26T17:42:16.693110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 383
28.5%
2 125
 
9.3%
3 105
 
7.8%
4 44
 
3.3%
5 13
 
1.0%
(Missing) 672
50.1%
ValueCountFrequency (%)
1 383
28.5%
2 125
 
9.3%
3 105
 
7.8%
4 44
 
3.3%
5 13
 
1.0%
ValueCountFrequency (%)
5 13
 
1.0%
4 44
 
3.3%
3 105
 
7.8%
2 125
 
9.3%
1 383
28.5%

w1_B01_19
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Seldom feel blue

Distinct5
Distinct (%)0.8%
Missing676
Missing (%)50.4%
Infinite0
Infinite (%)0.0%
Mean2.923423423
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.732848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.256019847
Coefficient of variation (CV)0.429640071
Kurtosis-0.9245567918
Mean2.923423423
Median Absolute Deviation (MAD)1
Skewness0.1448606405
Sum1947
Variance1.577585857
MonotonicityNot monotonic
2025-02-26T17:42:16.772277image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 201
 
15.0%
2 160
 
11.9%
4 109
 
8.1%
1 98
 
7.3%
5 98
 
7.3%
(Missing) 676
50.4%
ValueCountFrequency (%)
1 98
7.3%
2 160
11.9%
3 201
15.0%
4 109
8.1%
5 98
7.3%
ValueCountFrequency (%)
5 98
7.3%
4 109
8.1%
3 201
15.0%
2 160
11.9%
1 98
7.3%

w1_B01_20
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Do not have a good imagination

Distinct5
Distinct (%)0.7%
Missing673
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean2.127055306
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.812559image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.133459742
Coefficient of variation (CV)0.5328774191
Kurtosis-0.3680458414
Mean2.127055306
Median Absolute Deviation (MAD)1
Skewness0.7202426853
Sum1423
Variance1.284730986
MonotonicityNot monotonic
2025-02-26T17:42:16.853225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 259
 
19.3%
2 175
 
13.0%
3 150
 
11.2%
4 61
 
4.5%
5 24
 
1.8%
(Missing) 673
50.1%
ValueCountFrequency (%)
1 259
19.3%
2 175
13.0%
3 150
11.2%
4 61
 
4.5%
5 24
 
1.8%
ValueCountFrequency (%)
5 24
 
1.8%
4 61
 
4.5%
3 150
11.2%
2 175
13.0%
1 259
19.3%

w1_B02_1
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SOCIAL SUPPORT. To obtain help when you need it; to feel that you are not alone in the world.

Distinct7
Distinct (%)1.0%
Missing673
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean5.865470852
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.891845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.549527829
Coefficient of variation (CV)0.2641779096
Kurtosis1.158946555
Mean5.865470852
Median Absolute Deviation (MAD)0
Skewness-1.350794311
Sum3924
Variance2.401036492
MonotonicityNot monotonic
2025-02-26T17:42:16.929119image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 364
27.1%
5 98
 
7.3%
6 81
 
6.0%
4 69
 
5.1%
3 28
 
2.1%
1 18
 
1.3%
2 11
 
0.8%
(Missing) 673
50.1%
ValueCountFrequency (%)
1 18
 
1.3%
2 11
 
0.8%
3 28
 
2.1%
4 69
5.1%
5 98
7.3%
ValueCountFrequency (%)
7 364
27.1%
6 81
 
6.0%
5 98
 
7.3%
4 69
 
5.1%
3 28
 
2.1%

w1_B02_2
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SUCCESS. To reach your goals; to be efficient in everything you do.

Distinct7
Distinct (%)1.0%
Missing673
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean6.260089686
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:16.965157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.152155228
Coefficient of variation (CV)0.184047719
Kurtosis5.299780936
Mean6.260089686
Median Absolute Deviation (MAD)0
Skewness-2.080937493
Sum4188
Variance1.327461669
MonotonicityNot monotonic
2025-02-26T17:42:17.001541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 396
29.5%
6 139
 
10.4%
5 85
 
6.3%
4 31
 
2.3%
1 9
 
0.7%
3 6
 
0.4%
2 3
 
0.2%
(Missing) 673
50.1%
ValueCountFrequency (%)
1 9
 
0.7%
2 3
 
0.2%
3 6
 
0.4%
4 31
 
2.3%
5 85
6.3%
ValueCountFrequency (%)
7 396
29.5%
6 139
 
10.4%
5 85
 
6.3%
4 31
 
2.3%
3 6
 
0.4%

w1_B02_3
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SEXUALITY. To have sexual relationships; to obtain sexual pleasure.

Distinct7
Distinct (%)1.1%
Missing676
Missing (%)50.4%
Infinite0
Infinite (%)0.0%
Mean4.037537538
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.036225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.836170239
Coefficient of variation (CV)0.4547747783
Kurtosis-0.8680272318
Mean4.037537538
Median Absolute Deviation (MAD)1
Skewness-0.05981800238
Sum2689
Variance3.371521145
MonotonicityNot monotonic
2025-02-26T17:42:17.073705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 156
 
11.6%
5 125
 
9.3%
3 94
 
7.0%
7 86
 
6.4%
1 86
 
6.4%
2 61
 
4.5%
6 58
 
4.3%
(Missing) 676
50.4%
ValueCountFrequency (%)
1 86
6.4%
2 61
 
4.5%
3 94
7.0%
4 156
11.6%
5 125
9.3%
ValueCountFrequency (%)
7 86
6.4%
6 58
 
4.3%
5 125
9.3%
4 156
11.6%
3 94
7.0%

w1_B02_4
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: KNOWLEDGE. To look for up-to-date news on not very well-known matters; to try to discover new things about the world.

Distinct7
Distinct (%)1.0%
Missing674
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean5.773952096
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.109396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.394391618
Coefficient of variation (CV)0.241496915
Kurtosis0.9585440541
Mean5.773952096
Median Absolute Deviation (MAD)1
Skewness-1.159128139
Sum3857
Variance1.944327986
MonotonicityNot monotonic
2025-02-26T17:42:17.145550image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 280
20.9%
6 154
 
11.5%
5 111
 
8.3%
4 79
 
5.9%
3 23
 
1.7%
2 12
 
0.9%
1 9
 
0.7%
(Missing) 674
50.2%
ValueCountFrequency (%)
1 9
 
0.7%
2 12
 
0.9%
3 23
 
1.7%
4 79
5.9%
5 111
8.3%
ValueCountFrequency (%)
7 280
20.9%
6 154
11.5%
5 111
 
8.3%
4 79
 
5.9%
3 23
 
1.7%

w1_B02_5
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: EMOTION. To enjoy challenges or unknown situations; to look for adventure.

Distinct7
Distinct (%)1.0%
Missing674
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean5.541916168
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.181501image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.512479991
Coefficient of variation (CV)0.2729164327
Kurtosis0.471308891
Mean5.541916168
Median Absolute Deviation (MAD)1
Skewness-1.029574558
Sum3702
Variance2.287595723
MonotonicityNot monotonic
2025-02-26T17:42:17.216943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 231
 
17.2%
6 168
 
12.5%
5 122
 
9.1%
4 72
 
5.4%
3 43
 
3.2%
2 18
 
1.3%
1 14
 
1.0%
(Missing) 674
50.2%
ValueCountFrequency (%)
1 14
 
1.0%
2 18
 
1.3%
3 43
 
3.2%
4 72
5.4%
5 122
9.1%
ValueCountFrequency (%)
7 231
17.2%
6 168
12.5%
5 122
9.1%
4 72
 
5.4%
3 43
 
3.2%

w1_B02_6
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: POWER. To have the power to influence others and to control decisions; to be the boss of a team.

Distinct7
Distinct (%)1.1%
Missing678
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean4.542168675
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.251718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.72848519
Coefficient of variation (CV)0.3805418322
Kurtosis-0.7268575239
Mean4.542168675
Median Absolute Deviation (MAD)1
Skewness-0.3244863149
Sum3016
Variance2.987661051
MonotonicityNot monotonic
2025-02-26T17:42:17.290394image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 134
 
10.0%
4 134
 
10.0%
6 114
 
8.5%
7 103
 
7.7%
3 89
 
6.6%
2 48
 
3.6%
1 42
 
3.1%
(Missing) 678
50.5%
ValueCountFrequency (%)
1 42
 
3.1%
2 48
 
3.6%
3 89
6.6%
4 134
10.0%
5 134
10.0%
ValueCountFrequency (%)
7 103
7.7%
6 114
8.5%
5 134
10.0%
4 134
10.0%
3 89
6.6%

w1_B02_7
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: AFFECTIVITY. To have a deep and enduring affectionate relationship; to have somebody to share successes and failures.

Distinct7
Distinct (%)1.1%
Missing676
Missing (%)50.4%
Infinite0
Infinite (%)0.0%
Mean5.731231231
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.327702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.594582176
Coefficient of variation (CV)0.2782268088
Kurtosis0.6814464777
Mean5.731231231
Median Absolute Deviation (MAD)1
Skewness-1.239764611
Sum3817
Variance2.542692316
MonotonicityNot monotonic
2025-02-26T17:42:17.365978image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 309
23.0%
6 142
 
10.6%
4 71
 
5.3%
5 70
 
5.2%
3 36
 
2.7%
2 22
 
1.6%
1 16
 
1.2%
(Missing) 676
50.4%
ValueCountFrequency (%)
1 16
 
1.2%
2 22
 
1.6%
3 36
2.7%
4 71
5.3%
5 70
5.2%
ValueCountFrequency (%)
7 309
23.0%
6 142
10.6%
5 70
 
5.2%
4 71
 
5.3%
3 36
 
2.7%

w1_B02_8
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02_9
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: HEALTH. To look after your health at all times, not just when sick; not to be sick.

Distinct7
Distinct (%)1.0%
Missing675
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean6.149925037
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.401825image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.338395512
Coefficient of variation (CV)0.2176279392
Kurtosis2.855359731
Mean6.149925037
Median Absolute Deviation (MAD)0
Skewness-1.779497948
Sum4102
Variance1.791302547
MonotonicityNot monotonic
2025-02-26T17:42:17.437936image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 404
30.1%
6 106
 
7.9%
5 76
 
5.7%
4 43
 
3.2%
3 19
 
1.4%
2 10
 
0.7%
1 9
 
0.7%
(Missing) 675
50.3%
ValueCountFrequency (%)
1 9
 
0.7%
2 10
 
0.7%
3 19
 
1.4%
4 43
3.2%
5 76
5.7%
ValueCountFrequency (%)
7 404
30.1%
6 106
 
7.9%
5 76
 
5.7%
4 43
 
3.2%
3 19
 
1.4%

w1_B02_10
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PLEASURE. To live for the moment; to satisfy all your desires.

Distinct7
Distinct (%)1.1%
Missing678
Missing (%)50.5%
Infinite0
Infinite (%)0.0%
Mean5.043674699
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.472681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36.25
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.712227974
Coefficient of variation (CV)0.3394802553
Kurtosis-0.2846105009
Mean5.043674699
Median Absolute Deviation (MAD)1
Skewness-0.7045411697
Sum3349
Variance2.931724636
MonotonicityNot monotonic
2025-02-26T17:42:17.509406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 166
 
12.4%
6 139
 
10.4%
5 134
 
10.0%
4 106
 
7.9%
3 56
 
4.2%
1 35
 
2.6%
2 28
 
2.1%
(Missing) 678
50.5%
ValueCountFrequency (%)
1 35
 
2.6%
2 28
 
2.1%
3 56
4.2%
4 106
7.9%
5 134
10.0%
ValueCountFrequency (%)
7 166
12.4%
6 139
10.4%
5 134
10.0%
4 106
7.9%
3 56
 
4.2%

w1_B02_11
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PRESTIGE. To know that a lot of people know and admire you; when you are older to receive a homage for your contributions.

Distinct7
Distinct (%)1.0%
Missing674
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean4.621257485
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.545704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.86387505
Coefficient of variation (CV)0.4033263794
Kurtosis-0.8048100276
Mean4.621257485
Median Absolute Deviation (MAD)1
Skewness-0.3905867889
Sum3087
Variance3.4740302
MonotonicityNot monotonic
2025-02-26T17:42:17.582915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 145
 
10.8%
4 126
 
9.4%
5 126
 
9.4%
6 94
 
7.0%
3 80
 
6.0%
1 60
 
4.5%
2 37
 
2.8%
(Missing) 674
50.2%
ValueCountFrequency (%)
1 60
4.5%
2 37
 
2.8%
3 80
6.0%
4 126
9.4%
5 126
9.4%
ValueCountFrequency (%)
7 145
10.8%
6 94
7.0%
5 126
9.4%
4 126
9.4%
3 80
6.0%

w1_B02_12
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: OBEDIENCE. To fulfill your daily duties and obligations; to respect your parents, superiors, or elders.

Distinct7
Distinct (%)1.1%
Missing676
Missing (%)50.4%
Infinite0
Infinite (%)0.0%
Mean5.750750751
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.618967image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.449202334
Coefficient of variation (CV)0.2520022858
Kurtosis0.9242897612
Mean5.750750751
Median Absolute Deviation (MAD)1
Skewness-1.194978955
Sum3830
Variance2.100187405
MonotonicityNot monotonic
2025-02-26T17:42:17.655919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 281
20.9%
6 156
 
11.6%
5 101
 
7.5%
4 74
 
5.5%
3 29
 
2.2%
2 14
 
1.0%
1 11
 
0.8%
(Missing) 676
50.4%
ValueCountFrequency (%)
1 11
 
0.8%
2 14
 
1.0%
3 29
 
2.2%
4 74
5.5%
5 101
7.5%
ValueCountFrequency (%)
7 281
20.9%
6 156
11.6%
5 101
 
7.5%
4 74
 
5.5%
3 29
 
2.2%

w1_B02_13
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PERSONAL STABILITY. To have the certainty that tomorrow you will have all that you have today; to have an organized and planned life.

Distinct7
Distinct (%)1.0%
Missing675
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean6.047976012
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.691215image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.241466226
Coefficient of variation (CV)0.2052697007
Kurtosis2.429265684
Mean6.047976012
Median Absolute Deviation (MAD)0
Skewness-1.507918362
Sum4034
Variance1.54123839
MonotonicityNot monotonic
2025-02-26T17:42:17.793091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 335
25.0%
6 154
 
11.5%
5 96
 
7.2%
4 58
 
4.3%
3 13
 
1.0%
1 8
 
0.6%
2 3
 
0.2%
(Missing) 675
50.3%
ValueCountFrequency (%)
1 8
 
0.6%
2 3
 
0.2%
3 13
 
1.0%
4 58
4.3%
5 96
7.2%
ValueCountFrequency (%)
7 335
25.0%
6 154
11.5%
5 96
 
7.2%
4 58
 
4.3%
3 13
 
1.0%

w1_B02_14
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BELONGING. To have good neighborly relationships; to form part of a group (e.g., social, religious, sporting, etc.).

Distinct7
Distinct (%)1.0%
Missing673
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean5.104633782
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.829750image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.655455342
Coefficient of variation (CV)0.3243044286
Kurtosis-0.3443401166
Mean5.104633782
Median Absolute Deviation (MAD)1
Skewness-0.6815785283
Sum3415
Variance2.740532388
MonotonicityNot monotonic
2025-02-26T17:42:17.868404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 167
 
12.4%
6 152
 
11.3%
5 134
 
10.0%
4 93
 
6.9%
3 70
 
5.2%
2 29
 
2.2%
1 24
 
1.8%
(Missing) 673
50.1%
ValueCountFrequency (%)
1 24
 
1.8%
2 29
 
2.2%
3 70
5.2%
4 93
6.9%
5 134
10.0%
ValueCountFrequency (%)
7 167
12.4%
6 152
11.3%
5 134
10.0%
4 93
6.9%
3 70
5.2%

w1_B02_15
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BEAUTY. To be able to appreciate the best in art, music, and literature; to go to museums or exhibitions where you can see beautiful things.

Distinct7
Distinct (%)1.0%
Missing673
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean5.284005979
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.904701image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.644278259
Coefficient of variation (CV)0.311180242
Kurtosis0.04217260388
Mean5.284005979
Median Absolute Deviation (MAD)1
Skewness-0.8579246963
Sum3535
Variance2.703650994
MonotonicityNot monotonic
2025-02-26T17:42:17.940329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 205
 
15.3%
5 139
 
10.4%
6 137
 
10.2%
4 99
 
7.4%
3 33
 
2.5%
2 32
 
2.4%
1 24
 
1.8%
(Missing) 673
50.1%
ValueCountFrequency (%)
1 24
 
1.8%
2 32
 
2.4%
3 33
 
2.5%
4 99
7.4%
5 139
10.4%
ValueCountFrequency (%)
7 205
15.3%
6 137
10.2%
5 139
10.4%
4 99
7.4%
3 33
 
2.5%

w1_B02_16
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: TRADITION. To follow the social norms of your country; to respect the traditions of your society.

Distinct7
Distinct (%)1.0%
Missing674
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean4.658682635
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:17.975868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.821156543
Coefficient of variation (CV)0.3909166359
Kurtosis-0.869368155
Mean4.658682635
Median Absolute Deviation (MAD)1
Skewness-0.3391552772
Sum3112
Variance3.316611156
MonotonicityNot monotonic
2025-02-26T17:42:18.013043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 148
 
11.0%
5 132
 
9.8%
4 122
 
9.1%
6 90
 
6.7%
3 77
 
5.7%
2 58
 
4.3%
1 41
 
3.1%
(Missing) 674
50.2%
ValueCountFrequency (%)
1 41
 
3.1%
2 58
4.3%
3 77
5.7%
4 122
9.1%
5 132
9.8%
ValueCountFrequency (%)
7 148
11.0%
6 90
6.7%
5 132
9.8%
4 122
9.1%
3 77
5.7%

w1_B02_17
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SURVIVAL. To have water, food, and shelter every day in your life; to live in a place with enough food.

Distinct7
Distinct (%)1.0%
Missing673
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean6.443946188
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:18.049797image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.100590466
Coefficient of variation (CV)0.1707944843
Kurtosis7.147111512
Mean6.443946188
Median Absolute Deviation (MAD)0
Skewness-2.526460903
Sum4311
Variance1.211299374
MonotonicityNot monotonic
2025-02-26T17:42:18.086423image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 477
35.5%
6 93
 
6.9%
5 55
 
4.1%
4 24
 
1.8%
3 10
 
0.7%
1 7
 
0.5%
2 3
 
0.2%
(Missing) 673
50.1%
ValueCountFrequency (%)
1 7
 
0.5%
2 3
 
0.2%
3 10
 
0.7%
4 24
1.8%
5 55
4.1%
ValueCountFrequency (%)
7 477
35.5%
6 93
 
6.9%
5 55
 
4.1%
4 24
 
1.8%
3 10
 
0.7%

w1_B02_18
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: MATURITY. To feel that your purpose in life has been fulfilled; to develop all your capacities.

Distinct7
Distinct (%)1.0%
Missing672
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean6.365671642
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:18.121865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.162062524
Coefficient of variation (CV)0.1825514398
Kurtosis7.42154866
Mean6.365671642
Median Absolute Deviation (MAD)0
Skewness-2.555509518
Sum4265
Variance1.350389309
MonotonicityNot monotonic
2025-02-26T17:42:18.158333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 438
32.6%
6 133
 
9.9%
5 55
 
4.1%
4 20
 
1.5%
1 11
 
0.8%
3 9
 
0.7%
2 4
 
0.3%
(Missing) 672
50.1%
ValueCountFrequency (%)
1 11
 
0.8%
2 4
 
0.3%
3 9
 
0.7%
4 20
 
1.5%
5 55
4.1%
ValueCountFrequency (%)
7 438
32.6%
6 133
 
9.9%
5 55
 
4.1%
4 20
 
1.5%
3 9
 
0.7%

w1_B02JLU_1
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_2
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_3
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_4
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_5
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_6
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_7
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_8
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_9
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_10
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_11
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_12
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_13
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_14
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_15
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_16
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_17
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_B02JLU_18
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_C01_1
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online live synchronous

Distinct17
Distinct (%)3.2%
Missing813
Missing (%)60.6%
Infinite0
Infinite (%)0.0%
Mean3.848771267
Minimum0
Maximum45
Zeros113
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:18.198559image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile9
Maximum45
Range45
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.580488449
Coefficient of variation (CV)1.190117087
Kurtosis28.44274386
Mean3.848771267
Median Absolute Deviation (MAD)3
Skewness4.001706921
Sum2036
Variance20.98087443
MonotonicityNot monotonic
2025-02-26T17:42:18.238048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 113
 
8.4%
1 91
 
6.8%
2 50
 
3.7%
5 44
 
3.3%
6 42
 
3.1%
7 42
 
3.1%
8 38
 
2.8%
4 37
 
2.8%
3 35
 
2.6%
10 15
 
1.1%
Other values (7) 22
 
1.6%
(Missing) 813
60.6%
ValueCountFrequency (%)
0 113
8.4%
1 91
6.8%
2 50
3.7%
3 35
 
2.6%
4 37
 
2.8%
ValueCountFrequency (%)
45 2
0.1%
30 2
0.1%
24 2
0.1%
20 2
0.1%
14 1
0.1%

w1_C01_2
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online recorded asynchronous

Distinct16
Distinct (%)3.4%
Missing872
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean2.442553191
Minimum0
Maximum55
Zeros183
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:18.273819image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile8
Maximum55
Range55
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.22651518
Coefficient of variation (CV)1.730367713
Kurtosis58.77621853
Mean2.442553191
Median Absolute Deviation (MAD)1
Skewness5.972804028
Sum1148
Variance17.86343057
MonotonicityNot monotonic
2025-02-26T17:42:18.314091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 183
 
13.6%
1 81
 
6.0%
2 56
 
4.2%
3 33
 
2.5%
4 24
 
1.8%
6 24
 
1.8%
5 22
 
1.6%
7 18
 
1.3%
8 14
 
1.0%
9 5
 
0.4%
Other values (6) 10
 
0.7%
(Missing) 872
65.0%
ValueCountFrequency (%)
0 183
13.6%
1 81
6.0%
2 56
 
4.2%
3 33
 
2.5%
4 24
 
1.8%
ValueCountFrequency (%)
55 1
0.1%
30 2
0.1%
20 2
0.1%
18 1
0.1%
15 2
0.1%

w1_C01_3
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Partly synchronously and partly asynchronously

Distinct14
Distinct (%)3.2%
Missing899
Missing (%)67.0%
Infinite0
Infinite (%)0.0%
Mean1.203160271
Minimum0
Maximum40
Zeros273
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:18.354594image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5.9
Maximum40
Range40
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.889251252
Coefficient of variation (CV)2.401385187
Kurtosis77.57070406
Mean1.203160271
Median Absolute Deviation (MAD)0
Skewness6.944853896
Sum533
Variance8.347772796
MonotonicityNot monotonic
2025-02-26T17:42:18.399405image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 273
 
20.3%
1 77
 
5.7%
2 26
 
1.9%
5 18
 
1.3%
3 16
 
1.2%
4 10
 
0.7%
7 7
 
0.5%
6 6
 
0.4%
8 3
 
0.2%
10 3
 
0.2%
Other values (4) 4
 
0.3%
(Missing) 899
67.0%
ValueCountFrequency (%)
0 273
20.3%
1 77
 
5.7%
2 26
 
1.9%
3 16
 
1.2%
4 10
 
0.7%
ValueCountFrequency (%)
40 1
 
0.1%
18 1
 
0.1%
15 1
 
0.1%
14 1
 
0.1%
10 3
0.2%

w1_C01_4
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: In presence

Distinct15
Distinct (%)3.2%
Missing878
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean1.032327586
Minimum0
Maximum50
Zeros361
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:18.442282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.359274289
Coefficient of variation (CV)4.222762568
Kurtosis78.05824647
Mean1.032327586
Median Absolute Deviation (MAD)0
Skewness8.111630448
Sum479
Variance19.00327232
MonotonicityNot monotonic
2025-02-26T17:42:18.483225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 361
26.9%
1 48
 
3.6%
2 18
 
1.3%
5 9
 
0.7%
10 7
 
0.5%
4 5
 
0.4%
3 5
 
0.4%
30 2
 
0.1%
6 2
 
0.1%
50 2
 
0.1%
Other values (5) 5
 
0.4%
(Missing) 878
65.4%
ValueCountFrequency (%)
0 361
26.9%
1 48
 
3.6%
2 18
 
1.3%
3 5
 
0.4%
4 5
 
0.4%
ValueCountFrequency (%)
50 2
0.1%
30 2
0.1%
25 1
0.1%
16 1
0.1%
15 1
0.1%

w1_C02_1
Real number (ℝ)

Missing 

How often do you attend workshops or other academic activities? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing722
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean3.138709677
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:18.519736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.406235231
Coefficient of variation (CV)0.4480297241
Kurtosis-1.299892361
Mean3.138709677
Median Absolute Deviation (MAD)1
Skewness-0.01691717804
Sum1946
Variance1.977497525
MonotonicityNot monotonic
2025-02-26T17:42:18.560948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 158
 
11.8%
2 141
 
10.5%
3 134
 
10.0%
4 95
 
7.1%
1 92
 
6.9%
(Missing) 722
53.8%
ValueCountFrequency (%)
1 92
6.9%
2 141
10.5%
3 134
10.0%
4 95
7.1%
5 158
11.8%
ValueCountFrequency (%)
5 158
11.8%
4 95
7.1%
3 134
10.0%
2 141
10.5%
1 92
6.9%

w1_C02_2
Real number (ℝ)

Missing 

How often do you take notes in class? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing717
Missing (%)53.4%
Infinite0
Infinite (%)0.0%
Mean3.9136
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:18.600808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.121850577
Coefficient of variation (CV)0.2866543789
Kurtosis-0.5307109556
Mean3.9136
Median Absolute Deviation (MAD)1
Skewness-0.6832525238
Sum2446
Variance1.258548718
MonotonicityNot monotonic
2025-02-26T17:42:18.641038image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 259
 
19.3%
4 146
 
10.9%
3 143
 
10.7%
2 61
 
4.5%
1 16
 
1.2%
(Missing) 717
53.4%
ValueCountFrequency (%)
1 16
 
1.2%
2 61
 
4.5%
3 143
10.7%
4 146
10.9%
5 259
19.3%
ValueCountFrequency (%)
5 259
19.3%
4 146
10.9%
3 143
10.7%
2 61
 
4.5%
1 16
 
1.2%

w1_C02_3
Real number (ℝ)

Missing 

How often do you review and arrange notes at the end of the lecture? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing718
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean2.9375
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:18.681276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.336343746
Coefficient of variation (CV)0.4549255305
Kurtosis-1.122347777
Mean2.9375
Median Absolute Deviation (MAD)1
Skewness0.1145463809
Sum1833
Variance1.785814607
MonotonicityNot monotonic
2025-02-26T17:42:18.721948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 157
 
11.7%
2 145
 
10.8%
1 108
 
8.0%
5 108
 
8.0%
4 106
 
7.9%
(Missing) 718
53.5%
ValueCountFrequency (%)
1 108
8.0%
2 145
10.8%
3 157
11.7%
4 106
7.9%
5 108
8.0%
ValueCountFrequency (%)
5 108
8.0%
4 106
7.9%
3 157
11.7%
2 145
10.8%
1 108
8.0%

w1_C02_4
Real number (ℝ)

Missing 

How often do you audio record the lecture? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing718
Missing (%)53.5%
Infinite0
Infinite (%)0.0%
Mean2.349358974
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:18.762628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.444444576
Coefficient of variation (CV)0.6148249766
Kurtosis-1.027638843
Mean2.349358974
Median Absolute Deviation (MAD)1
Skewness0.6278614364
Sum1466
Variance2.086420134
MonotonicityNot monotonic
2025-02-26T17:42:18.802827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 266
 
19.8%
2 109
 
8.1%
3 92
 
6.9%
4 79
 
5.9%
5 78
 
5.8%
(Missing) 718
53.5%
ValueCountFrequency (%)
1 266
19.8%
2 109
8.1%
3 92
 
6.9%
4 79
 
5.9%
5 78
 
5.8%
ValueCountFrequency (%)
5 78
 
5.8%
4 79
 
5.9%
3 92
 
6.9%
2 109
8.1%
1 266
19.8%

w1_C02_5
Real number (ℝ)

Missing 

How often do you study and review notes regularly during the class week? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing719
Missing (%)53.6%
Infinite0
Infinite (%)0.0%
Mean2.924558587
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:18.843008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.23679797
Coefficient of variation (CV)0.4229007328
Kurtosis-0.9452020684
Mean2.924558587
Median Absolute Deviation (MAD)1
Skewness0.159086103
Sum1822
Variance1.529669218
MonotonicityNot monotonic
2025-02-26T17:42:18.885390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 170
 
12.7%
3 169
 
12.6%
4 117
 
8.7%
5 85
 
6.3%
1 82
 
6.1%
(Missing) 719
53.6%
ValueCountFrequency (%)
1 82
6.1%
2 170
12.7%
3 169
12.6%
4 117
8.7%
5 85
6.3%
ValueCountFrequency (%)
5 85
6.3%
4 117
8.7%
3 169
12.6%
2 170
12.7%
1 82
6.1%

w1_C02_6
Real number (ℝ)

Missing 

How often do you schematize or summarize books or notes related to a course? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing717
Missing (%)53.4%
Infinite0
Infinite (%)0.0%
Mean3.4032
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:18.925857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.296193639
Coefficient of variation (CV)0.3808749526
Kurtosis-0.9640541895
Mean3.4032
Median Absolute Deviation (MAD)1
Skewness-0.3507413412
Sum2127
Variance1.680117949
MonotonicityNot monotonic
2025-02-26T17:42:18.967293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 161
 
12.0%
4 154
 
11.5%
3 150
 
11.2%
2 96
 
7.2%
1 64
 
4.8%
(Missing) 717
53.4%
ValueCountFrequency (%)
1 64
 
4.8%
2 96
7.2%
3 150
11.2%
4 154
11.5%
5 161
12.0%
ValueCountFrequency (%)
5 161
12.0%
4 154
11.5%
3 150
11.2%
2 96
7.2%
1 64
 
4.8%

w1_C02_7
Real number (ℝ)

Missing 

How often do you take part in the activities organized by the course? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing723
Missing (%)53.9%
Infinite0
Infinite (%)0.0%
Mean3.302100162
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:19.007234image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.330807034
Coefficient of variation (CV)0.4030183729
Kurtosis-1.078994413
Mean3.302100162
Median Absolute Deviation (MAD)1
Skewness-0.3016925798
Sum2044
Variance1.771047362
MonotonicityNot monotonic
2025-02-26T17:42:19.048573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 165
 
12.3%
5 142
 
10.6%
3 128
 
9.5%
2 106
 
7.9%
1 78
 
5.8%
(Missing) 723
53.9%
ValueCountFrequency (%)
1 78
5.8%
2 106
7.9%
3 128
9.5%
4 165
12.3%
5 142
10.6%
ValueCountFrequency (%)
5 142
10.6%
4 165
12.3%
3 128
9.5%
2 106
7.9%
1 78
5.8%

w1_C02_8
Real number (ℝ)

Missing 

How often do you use specialized websites (e.g., statistics, philosophy, physics…)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing720
Missing (%)53.7%
Infinite0
Infinite (%)0.0%
Mean3.38585209
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:19.088601image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.364016222
Coefficient of variation (CV)0.4028575928
Kurtosis-1.053096539
Mean3.38585209
Median Absolute Deviation (MAD)1
Skewness-0.3966915017
Sum2106
Variance1.860540255
MonotonicityNot monotonic
2025-02-26T17:42:19.130766image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 168
 
12.5%
4 157
 
11.7%
3 127
 
9.5%
2 87
 
6.5%
1 83
 
6.2%
(Missing) 720
53.7%
ValueCountFrequency (%)
1 83
6.2%
2 87
6.5%
3 127
9.5%
4 157
11.7%
5 168
12.5%
ValueCountFrequency (%)
5 168
12.5%
4 157
11.7%
3 127
9.5%
2 87
6.5%
1 83
6.2%

w1_C02_9
Real number (ℝ)

Missing 

How often do you use question & answer sites (e.g., Quora, Stack Overflow, Answers.com)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing722
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean2.393548387
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:19.171112image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.444713047
Coefficient of variation (CV)0.6035863136
Kurtosis-0.9935510111
Mean2.393548387
Median Absolute Deviation (MAD)1
Skewness0.629314301
Sum1484
Variance2.087195789
MonotonicityNot monotonic
2025-02-26T17:42:19.211372image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 244
 
18.2%
2 129
 
9.6%
3 93
 
6.9%
5 87
 
6.5%
4 67
 
5.0%
(Missing) 722
53.8%
ValueCountFrequency (%)
1 244
18.2%
2 129
9.6%
3 93
 
6.9%
4 67
 
5.0%
5 87
 
6.5%
ValueCountFrequency (%)
5 87
 
6.5%
4 67
 
5.0%
3 93
 
6.9%
2 129
9.6%
1 244
18.2%

w1_C02_10
Real number (ℝ)

Missing 

How often do you use university websites/platform tools for learning (e.g., Moodle, etc.)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing720
Missing (%)53.7%
Infinite0
Infinite (%)0.0%
Mean3.022508039
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:19.251729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.47861018
Coefficient of variation (CV)0.4891997509
Kurtosis-1.38697714
Mean3.022508039
Median Absolute Deviation (MAD)1
Skewness-0.05981092694
Sum1880
Variance2.186288064
MonotonicityNot monotonic
2025-02-26T17:42:19.293062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 146
 
10.9%
5 139
 
10.4%
4 123
 
9.2%
3 119
 
8.9%
2 95
 
7.1%
(Missing) 720
53.7%
ValueCountFrequency (%)
1 146
10.9%
2 95
7.1%
3 119
8.9%
4 123
9.2%
5 139
10.4%
ValueCountFrequency (%)
5 139
10.4%
4 123
9.2%
3 119
8.9%
2 95
7.1%
1 146
10.9%

w1_C02_11
Real number (ℝ)

Missing 

How often do you use commercial education platforms (e.g., Coursera, Udemy, Datacamp)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing720
Missing (%)53.7%
Infinite0
Infinite (%)0.0%
Mean2.352090032
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:19.335204image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.451243169
Coefficient of variation (CV)0.6170015387
Kurtosis-1.03633975
Mean2.352090032
Median Absolute Deviation (MAD)1
Skewness0.6207105448
Sum1463
Variance2.106106736
MonotonicityNot monotonic
2025-02-26T17:42:19.375764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 269
 
20.0%
3 100
 
7.5%
2 99
 
7.4%
5 80
 
6.0%
4 74
 
5.5%
(Missing) 720
53.7%
ValueCountFrequency (%)
1 269
20.0%
2 99
 
7.4%
3 100
 
7.5%
4 74
 
5.5%
5 80
 
6.0%
ValueCountFrequency (%)
5 80
 
6.0%
4 74
 
5.5%
3 100
 
7.5%
2 99
 
7.4%
1 269
20.0%

w1_C02_12
Unsupported

Missing  Rejected  Unsupported 

How often do you use virtual labs and Amrita University Management Systems? (1 “never” – 6 “very often”)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_D01
Real number (ℝ)

Missing 

About how many university students can you contact for help in studying?

Distinct27
Distinct (%)4.5%
Missing736
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean7.924092409
Minimum0
Maximum100
Zeros11
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:19.421378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q310
95-th percentile20
Maximum100
Range100
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.705285963
Coefficient of variation (CV)1.224782027
Kurtosis42.01755015
Mean7.924092409
Median Absolute Deviation (MAD)3
Skewness5.384181543
Sum4802
Variance94.19257562
MonotonicityNot monotonic
2025-02-26T17:42:19.465035image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
5 107
 
8.0%
10 93
 
6.9%
2 67
 
5.0%
3 63
 
4.7%
4 60
 
4.5%
6 35
 
2.6%
7 26
 
1.9%
1 26
 
1.9%
20 26
 
1.9%
15 23
 
1.7%
Other values (17) 80
 
6.0%
(Missing) 736
54.8%
ValueCountFrequency (%)
0 11
 
0.8%
1 26
 
1.9%
2 67
5.0%
3 63
4.7%
4 60
4.5%
ValueCountFrequency (%)
100 3
0.2%
60 1
 
0.1%
50 2
0.1%
45 1
 
0.1%
40 4
0.3%

w1_D02
Real number (ℝ)

Missing 

Are you in an informal study group(s) (beside the one you are in for the lab/class project)? 1) Yes 2) No [go to E01]

Distinct2
Distinct (%)0.3%
Missing719
Missing (%)53.6%
Infinite0
Infinite (%)0.0%
Mean1.516853933
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:19.503093image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5001174038
Coefficient of variation (CV)0.3297070291
Kurtosis-2.001864833
Mean1.516853933
Median Absolute Deviation (MAD)0
Skewness-0.06761697327
Sum945
Variance0.2501174175
MonotonicityNot monotonic
2025-02-26T17:42:19.541779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 322
24.0%
1 301
22.4%
(Missing) 719
53.6%
ValueCountFrequency (%)
1 301
22.4%
2 322
24.0%
ValueCountFrequency (%)
2 322
24.0%
1 301
22.4%

w1_D03
Real number (ℝ)

Missing 

How many informal study groups do you participate in?

Distinct12
Distinct (%)4.0%
Missing1044
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean2.17114094
Minimum0
Maximum25
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:19.579360image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile4.15
Maximum25
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.506739611
Coefficient of variation (CV)1.154572494
Kurtosis51.32850159
Mean2.17114094
Median Absolute Deviation (MAD)1
Skewness6.443775188
Sum647
Variance6.283743475
MonotonicityNot monotonic
2025-02-26T17:42:19.619091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 133
 
9.9%
2 87
 
6.5%
3 50
 
3.7%
4 11
 
0.8%
5 8
 
0.6%
0 2
 
0.1%
25 2
 
0.1%
8 1
 
0.1%
10 1
 
0.1%
6 1
 
0.1%
Other values (2) 2
 
0.1%
(Missing) 1044
77.8%
ValueCountFrequency (%)
0 2
 
0.1%
1 133
9.9%
2 87
6.5%
3 50
 
3.7%
4 11
 
0.8%
ValueCountFrequency (%)
25 2
0.1%
17 1
0.1%
15 1
0.1%
10 1
0.1%
8 1
0.1%

w1_D04
Real number (ℝ)

Missing 

About how many people are in the informal study group? If you have more than one, think about the one you meet most often

Distinct23
Distinct (%)7.7%
Missing1045
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean5.875420875
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:19.658663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile14.2
Maximum50
Range49
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.905331585
Coefficient of variation (CV)1.00509082
Kurtosis27.7113254
Mean5.875420875
Median Absolute Deviation (MAD)1
Skewness4.677771966
Sum1745
Variance34.87294112
MonotonicityNot monotonic
2025-02-26T17:42:19.702799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4 74
 
5.5%
3 68
 
5.1%
5 49
 
3.7%
6 20
 
1.5%
2 16
 
1.2%
10 13
 
1.0%
7 13
 
1.0%
8 10
 
0.7%
1 6
 
0.4%
12 6
 
0.4%
Other values (13) 22
 
1.6%
(Missing) 1045
77.9%
ValueCountFrequency (%)
1 6
 
0.4%
2 16
 
1.2%
3 68
5.1%
4 74
5.5%
5 49
3.7%
ValueCountFrequency (%)
50 2
0.1%
44 1
0.1%
30 2
0.1%
25 1
0.1%
24 1
0.1%

w1_D05
Real number (ℝ)

Missing 

How often do you meet? If you meet more than one, think about the one you meet most often.1. Less than once a week2. Once a week3. Twice a week 4. Three days a week 5. Four days a week6. Five or more days a week

Distinct6
Distinct (%)2.0%
Missing1045
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean2.154882155
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:19.741057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.412869685
Coefficient of variation (CV)0.6556598381
Kurtosis0.8553535607
Mean2.154882155
Median Absolute Deviation (MAD)1
Skewness1.271512185
Sum640
Variance1.996200746
MonotonicityNot monotonic
2025-02-26T17:42:19.780111image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 132
 
9.8%
2 77
 
5.7%
3 36
 
2.7%
4 30
 
2.2%
6 16
 
1.2%
5 6
 
0.4%
(Missing) 1045
77.9%
ValueCountFrequency (%)
1 132
9.8%
2 77
5.7%
3 36
 
2.7%
4 30
 
2.2%
5 6
 
0.4%
ValueCountFrequency (%)
6 16
 
1.2%
5 6
 
0.4%
4 30
 
2.2%
3 36
2.7%
2 77
5.7%

w1_E01_1
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Twitter - Weibo

Distinct6
Distinct (%)1.0%
Missing736
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean2.995049505
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:19.885055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.751025744
Coefficient of variation (CV)0.5846400003
Kurtosis-0.9971051637
Mean2.995049505
Median Absolute Deviation (MAD)1
Skewness0.6321569847
Sum1815
Variance3.066091155
MonotonicityNot monotonic
2025-02-26T17:42:19.922202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 213
 
15.9%
1 121
 
9.0%
6 105
 
7.8%
3 68
 
5.1%
4 61
 
4.5%
5 38
 
2.8%
(Missing) 736
54.8%
ValueCountFrequency (%)
1 121
9.0%
2 213
15.9%
3 68
 
5.1%
4 61
 
4.5%
5 38
 
2.8%
ValueCountFrequency (%)
6 105
7.8%
5 38
 
2.8%
4 61
 
4.5%
3 68
 
5.1%
2 213
15.9%

w1_E01_2
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook

Distinct6
Distinct (%)1.0%
Missing737
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean3.259504132
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:19.958455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.611351419
Coefficient of variation (CV)0.4943547711
Kurtosis-1.022596169
Mean3.259504132
Median Absolute Deviation (MAD)1
Skewness0.5905992172
Sum1972
Variance2.596453396
MonotonicityNot monotonic
2025-02-26T17:42:19.996021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 244
 
18.2%
6 105
 
7.8%
3 97
 
7.2%
4 72
 
5.4%
5 47
 
3.5%
1 40
 
3.0%
(Missing) 737
54.9%
ValueCountFrequency (%)
1 40
 
3.0%
2 244
18.2%
3 97
 
7.2%
4 72
 
5.4%
5 47
 
3.5%
ValueCountFrequency (%)
6 105
7.8%
5 47
 
3.5%
4 72
 
5.4%
3 97
 
7.2%
2 244
18.2%

w1_E01_3
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : LinkedIn

Distinct6
Distinct (%)1.0%
Missing736
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean3.367986799
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.032707image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.273432234
Coefficient of variation (CV)0.6750122164
Kurtosis-1.834936281
Mean3.367986799
Median Absolute Deviation (MAD)2
Skewness0.08196912611
Sum2041
Variance5.168494122
MonotonicityNot monotonic
2025-02-26T17:42:20.072855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 261
 
19.4%
6 214
 
15.9%
5 45
 
3.4%
4 36
 
2.7%
3 27
 
2.0%
2 23
 
1.7%
(Missing) 736
54.8%
ValueCountFrequency (%)
1 261
19.4%
2 23
 
1.7%
3 27
 
2.0%
4 36
 
2.7%
5 45
 
3.4%
ValueCountFrequency (%)
6 214
15.9%
5 45
 
3.4%
4 36
 
2.7%
3 27
 
2.0%
2 23
 
1.7%

w1_E01_4
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : YouTube

Distinct6
Distinct (%)1.0%
Missing737
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean2.919008264
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.111167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.142953799
Coefficient of variation (CV)0.3915555199
Kurtosis-0.08287689809
Mean2.919008264
Median Absolute Deviation (MAD)1
Skewness0.8600329563
Sum1766
Variance1.306343386
MonotonicityNot monotonic
2025-02-26T17:42:20.150835image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 286
 
21.3%
3 127
 
9.5%
4 117
 
8.7%
5 45
 
3.4%
6 18
 
1.3%
1 12
 
0.9%
(Missing) 737
54.9%
ValueCountFrequency (%)
1 12
 
0.9%
2 286
21.3%
3 127
9.5%
4 117
8.7%
5 45
 
3.4%
ValueCountFrequency (%)
6 18
 
1.3%
5 45
 
3.4%
4 117
8.7%
3 127
9.5%
2 286
21.3%

w1_E01_5
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Instagram

Distinct6
Distinct (%)1.0%
Missing737
Missing (%)54.9%
Infinite0
Infinite (%)0.0%
Mean2.408264463
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.187804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.075124109
Coefficient of variation (CV)0.4464310818
Kurtosis4.029533322
Mean2.408264463
Median Absolute Deviation (MAD)0
Skewness2.091532963
Sum1457
Variance1.15589185
MonotonicityNot monotonic
2025-02-26T17:42:20.225724image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 436
32.5%
3 64
 
4.8%
1 33
 
2.5%
6 27
 
2.0%
4 27
 
2.0%
5 18
 
1.3%
(Missing) 737
54.9%
ValueCountFrequency (%)
1 33
 
2.5%
2 436
32.5%
3 64
 
4.8%
4 27
 
2.0%
5 18
 
1.3%
ValueCountFrequency (%)
6 27
 
2.0%
5 18
 
1.3%
4 27
 
2.0%
3 64
 
4.8%
2 436
32.5%

w1_E01_6
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Telegram

Distinct6
Distinct (%)1.0%
Missing738
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean3.34602649
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.261414image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.232237967
Coefficient of variation (CV)0.6671309906
Kurtosis-1.7849788
Mean3.34602649
Median Absolute Deviation (MAD)2
Skewness0.1236924871
Sum2021
Variance4.982886341
MonotonicityNot monotonic
2025-02-26T17:42:20.300025image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 246
 
18.3%
6 210
 
15.6%
3 44
 
3.3%
4 38
 
2.8%
2 33
 
2.5%
5 33
 
2.5%
(Missing) 738
55.0%
ValueCountFrequency (%)
1 246
18.3%
2 33
 
2.5%
3 44
 
3.3%
4 38
 
2.8%
5 33
 
2.5%
ValueCountFrequency (%)
6 210
15.6%
5 33
 
2.5%
4 38
 
2.8%
3 44
 
3.3%
2 33
 
2.5%

w1_E01_7
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Pinterest

Distinct6
Distinct (%)1.0%
Missing743
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean3.497495826
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.336680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.93702969
Coefficient of variation (CV)0.5538333099
Kurtosis-1.515988738
Mean3.497495826
Median Absolute Deviation (MAD)2
Skewness-0.03844197994
Sum2095
Variance3.75208402
MonotonicityNot monotonic
2025-02-26T17:42:20.376298image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 157
 
11.7%
6 144
 
10.7%
4 102
 
7.6%
5 74
 
5.5%
2 70
 
5.2%
3 52
 
3.9%
(Missing) 743
55.4%
ValueCountFrequency (%)
1 157
11.7%
2 70
5.2%
3 52
 
3.9%
4 102
7.6%
5 74
5.5%
ValueCountFrequency (%)
6 144
10.7%
5 74
5.5%
4 102
7.6%
3 52
 
3.9%
2 70
5.2%

w1_E01_8
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Reddit

Distinct6
Distinct (%)1.0%
Missing740
Missing (%)55.1%
Infinite0
Infinite (%)0.0%
Mean3.112956811
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.413826image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.354702498
Coefficient of variation (CV)0.756419906
Kurtosis-1.830125046
Mean3.112956811
Median Absolute Deviation (MAD)0
Skewness0.3015015115
Sum1874
Variance5.544623855
MonotonicityNot monotonic
2025-02-26T17:42:20.452261image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 318
23.7%
6 216
 
16.1%
5 24
 
1.8%
4 18
 
1.3%
3 16
 
1.2%
2 10
 
0.7%
(Missing) 740
55.1%
ValueCountFrequency (%)
1 318
23.7%
2 10
 
0.7%
3 16
 
1.2%
4 18
 
1.3%
5 24
 
1.8%
ValueCountFrequency (%)
6 216
16.1%
5 24
 
1.8%
4 18
 
1.3%
3 16
 
1.2%
2 10
 
0.7%

w1_E01_9
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Flickr

Distinct6
Distinct (%)1.0%
Missing742
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean3.128333333
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.489515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.444413184
Coefficient of variation (CV)0.7813787483
Kurtosis-1.898412727
Mean3.128333333
Median Absolute Deviation (MAD)0
Skewness0.2958561474
Sum1877
Variance5.975155815
MonotonicityNot monotonic
2025-02-26T17:42:20.528447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 338
25.2%
6 244
 
18.2%
5 9
 
0.7%
4 4
 
0.3%
3 4
 
0.3%
2 1
 
0.1%
(Missing) 742
55.3%
ValueCountFrequency (%)
1 338
25.2%
2 1
 
0.1%
3 4
 
0.3%
4 4
 
0.3%
5 9
 
0.7%
ValueCountFrequency (%)
6 244
18.2%
5 9
 
0.7%
4 4
 
0.3%
3 4
 
0.3%
2 1
 
0.1%

w1_E01_10
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook messenger

Distinct6
Distinct (%)1.0%
Missing742
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean3.745
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.566259image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.045388559
Coefficient of variation (CV)0.5461651693
Kurtosis-1.620174086
Mean3.745
Median Absolute Deviation (MAD)2
Skewness-0.1976994177
Sum2247
Variance4.183614357
MonotonicityNot monotonic
2025-02-26T17:42:20.603601image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 200
 
14.9%
1 149
 
11.1%
5 81
 
6.0%
2 68
 
5.1%
3 51
 
3.8%
4 51
 
3.8%
(Missing) 742
55.3%
ValueCountFrequency (%)
1 149
11.1%
2 68
5.1%
3 51
 
3.8%
4 51
 
3.8%
5 81
6.0%
ValueCountFrequency (%)
6 200
14.9%
5 81
6.0%
4 51
 
3.8%
3 51
 
3.8%
2 68
 
5.1%

w1_E01_11
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WhatsApp

Distinct6
Distinct (%)1.0%
Missing738
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean2.129139073
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.639215image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6957906515
Coefficient of variation (CV)0.3267943651
Kurtosis21.80980015
Mean2.129139073
Median Absolute Deviation (MAD)0
Skewness4.502901471
Sum1286
Variance0.4841246307
MonotonicityNot monotonic
2025-02-26T17:42:20.677854image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 550
41.0%
3 20
 
1.5%
6 14
 
1.0%
1 14
 
1.0%
5 4
 
0.3%
4 2
 
0.1%
(Missing) 738
55.0%
ValueCountFrequency (%)
1 14
 
1.0%
2 550
41.0%
3 20
 
1.5%
4 2
 
0.1%
5 4
 
0.3%
ValueCountFrequency (%)
6 14
 
1.0%
5 4
 
0.3%
4 2
 
0.1%
3 20
 
1.5%
2 550
41.0%

w1_E01_12
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Google hangouts

Distinct6
Distinct (%)1.0%
Missing741
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean3.249584027
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.713862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.070653035
Coefficient of variation (CV)0.637205568
Kurtosis-1.598415146
Mean3.249584027
Median Absolute Deviation (MAD)2
Skewness0.289771919
Sum1953
Variance4.287603993
MonotonicityNot monotonic
2025-02-26T17:42:20.753454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 186
 
13.9%
6 177
 
13.2%
2 109
 
8.1%
3 61
 
4.5%
4 36
 
2.7%
5 32
 
2.4%
(Missing) 741
55.2%
ValueCountFrequency (%)
1 186
13.9%
2 109
8.1%
3 61
 
4.5%
4 36
 
2.7%
5 32
 
2.4%
ValueCountFrequency (%)
6 177
13.2%
5 32
 
2.4%
4 36
 
2.7%
3 61
 
4.5%
2 109
8.1%

w1_E01_13
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Skype

Distinct6
Distinct (%)1.0%
Missing742
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean3.468333333
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.790454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.334826814
Coefficient of variation (CV)0.6731840885
Kurtosis-1.890848318
Mean3.468333333
Median Absolute Deviation (MAD)2
Skewness0.00545905927
Sum2081
Variance5.451416249
MonotonicityNot monotonic
2025-02-26T17:42:20.828167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 261
 
19.4%
6 239
 
17.8%
5 40
 
3.0%
4 24
 
1.8%
2 18
 
1.3%
3 18
 
1.3%
(Missing) 742
55.3%
ValueCountFrequency (%)
1 261
19.4%
2 18
 
1.3%
3 18
 
1.3%
4 24
 
1.8%
5 40
 
3.0%
ValueCountFrequency (%)
6 239
17.8%
5 40
 
3.0%
4 24
 
1.8%
3 18
 
1.3%
2 18
 
1.3%

w1_E01_14
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Zoom

Distinct6
Distinct (%)1.0%
Missing743
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean3.367278798
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.865918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.570632802
Coefficient of variation (CV)0.466439786
Kurtosis-1.01613296
Mean3.367278798
Median Absolute Deviation (MAD)1
Skewness0.2125771787
Sum2017
Variance2.466887399
MonotonicityNot monotonic
2025-02-26T17:42:20.904893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 137
 
10.2%
4 125
 
9.3%
3 116
 
8.6%
6 82
 
6.1%
1 73
 
5.4%
5 66
 
4.9%
(Missing) 743
55.4%
ValueCountFrequency (%)
1 73
5.4%
2 137
10.2%
3 116
8.6%
4 125
9.3%
5 66
4.9%
ValueCountFrequency (%)
6 82
6.1%
5 66
4.9%
4 125
9.3%
3 116
8.6%
2 137
10.2%

w1_E01_15
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Snapchat

Distinct6
Distinct (%)1.0%
Missing741
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean3.582362729
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:20.942708image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.253949513
Coefficient of variation (CV)0.6291795901
Kurtosis-1.822966331
Mean3.582362729
Median Absolute Deviation (MAD)2
Skewness-0.0727453264
Sum2153
Variance5.080288408
MonotonicityNot monotonic
2025-02-26T17:42:20.979952image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 235
 
17.5%
1 221
 
16.5%
5 47
 
3.5%
2 36
 
2.7%
3 33
 
2.5%
4 29
 
2.2%
(Missing) 741
55.2%
ValueCountFrequency (%)
1 221
16.5%
2 36
 
2.7%
3 33
 
2.5%
4 29
 
2.2%
5 47
 
3.5%
ValueCountFrequency (%)
6 235
17.5%
5 47
 
3.5%
4 29
 
2.2%
3 33
 
2.5%
2 36
 
2.7%

w1_E01_16
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Tinder

Distinct6
Distinct (%)1.0%
Missing743
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean3.191986644
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.015520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.41750913
Coefficient of variation (CV)0.7573681846
Kurtosis-1.903221197
Mean3.191986644
Median Absolute Deviation (MAD)0
Skewness0.2429493429
Sum1912
Variance5.844350394
MonotonicityNot monotonic
2025-02-26T17:42:21.054579image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 319
23.8%
6 240
 
17.9%
5 17
 
1.3%
3 10
 
0.7%
2 7
 
0.5%
4 6
 
0.4%
(Missing) 743
55.4%
ValueCountFrequency (%)
1 319
23.8%
2 7
 
0.5%
3 10
 
0.7%
4 6
 
0.4%
5 17
 
1.3%
ValueCountFrequency (%)
6 240
17.9%
5 17
 
1.3%
4 6
 
0.4%
3 10
 
0.7%
2 7
 
0.5%

w1_E01_17
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WeChat

Distinct6
Distinct (%)1.0%
Missing741
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean3.126455907
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.095764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.444173122
Coefficient of variation (CV)0.7817711796
Kurtosis-1.895246008
Mean3.126455907
Median Absolute Deviation (MAD)0
Skewness0.3029168291
Sum1879
Variance5.973982252
MonotonicityNot monotonic
2025-02-26T17:42:21.135468image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 336
25.0%
6 246
 
18.3%
5 7
 
0.5%
2 6
 
0.4%
3 4
 
0.3%
4 2
 
0.1%
(Missing) 741
55.2%
ValueCountFrequency (%)
1 336
25.0%
2 6
 
0.4%
3 4
 
0.3%
4 2
 
0.1%
5 7
 
0.5%
ValueCountFrequency (%)
6 246
18.3%
5 7
 
0.5%
4 2
 
0.1%
3 4
 
0.3%
2 6
 
0.4%

w1_E01_18
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Viber

Distinct5
Distinct (%)0.8%
Missing742
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean3.08
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.172251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.450225706
Coefficient of variation (CV)0.7955278266
Kurtosis-1.880881523
Mean3.08
Median Absolute Deviation (MAD)0
Skewness0.3382604719
Sum1848
Variance6.00360601
MonotonicityNot monotonic
2025-02-26T17:42:21.211462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 347
25.9%
6 243
 
18.1%
5 6
 
0.4%
3 3
 
0.2%
4 1
 
0.1%
(Missing) 742
55.3%
ValueCountFrequency (%)
1 347
25.9%
3 3
 
0.2%
4 1
 
0.1%
5 6
 
0.4%
6 243
18.1%
ValueCountFrequency (%)
6 243
18.1%
5 6
 
0.4%
4 1
 
0.1%
3 3
 
0.2%
1 347
25.9%

w1_E01_19
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : TikTok

Distinct6
Distinct (%)1.0%
Missing738
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean3.187086093
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.248327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.076425072
Coefficient of variation (CV)0.6515120746
Kurtosis-1.581830028
Mean3.187086093
Median Absolute Deviation (MAD)2
Skewness0.3200149327
Sum1925
Variance4.31154108
MonotonicityNot monotonic
2025-02-26T17:42:21.285510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 204
 
15.2%
6 170
 
12.7%
2 96
 
7.2%
3 63
 
4.7%
5 36
 
2.7%
4 35
 
2.6%
(Missing) 738
55.0%
ValueCountFrequency (%)
1 204
15.2%
2 96
7.2%
3 63
 
4.7%
4 35
 
2.6%
5 36
 
2.7%
ValueCountFrequency (%)
6 170
12.7%
5 36
 
2.7%
4 35
 
2.6%
3 63
 
4.7%
2 96
7.2%

w1_E01JLU_1
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Weibo(微博)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_2
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: LinkedIn

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_3
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Bilibili

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_4
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Acfun

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_5
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: lvzhou(绿洲)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_6
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Telegram

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_7
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Pinterest

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_8
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Huaban(花瓣)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_9
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Xiaohongshu(小红书)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_10
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Reddit

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_11
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tieba(贴吧)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_12
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Douban(豆瓣小组)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_13
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Skype

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_14
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Zoom

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_15
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tencent Meeting(腾讯会议)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_16
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: DingDing(钉钉)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_17
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tinder

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_18
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tantan(探探)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_19
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Momo(陌陌)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_20
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: WeChat(微信)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_21
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: QQ

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_22
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: TikTok(抖音)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_23
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Kuaishou(快手)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E01JLU_24
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Huoshan (火山小视频)

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_E02_1
Real number (ℝ)

Missing 

Do you use social networking sites to solve an academic problem? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing738
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean3.003311258
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.322886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.19284307
Coefficient of variation (CV)0.3971759726
Kurtosis-0.8663179308
Mean3.003311258
Median Absolute Deviation (MAD)1
Skewness0.05830707685
Sum1814
Variance1.42287459
MonotonicityNot monotonic
2025-02-26T17:42:21.364883image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 181
 
13.5%
2 149
 
11.1%
4 129
 
9.6%
5 78
 
5.8%
1 67
 
5.0%
(Missing) 738
55.0%
ValueCountFrequency (%)
1 67
 
5.0%
2 149
11.1%
3 181
13.5%
4 129
9.6%
5 78
5.8%
ValueCountFrequency (%)
5 78
5.8%
4 129
9.6%
3 181
13.5%
2 149
11.1%
1 67
 
5.0%

w1_E02_2
Real number (ℝ)

Missing 

Do you use social networking sites to do research work? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing738
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean2.899006623
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.407099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.31633405
Coefficient of variation (CV)0.4540638298
Kurtosis-1.121537577
Mean2.899006623
Median Absolute Deviation (MAD)1
Skewness0.09934885525
Sum1751
Variance1.73273533
MonotonicityNot monotonic
2025-02-26T17:42:21.448468image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 144
 
10.7%
3 141
 
10.5%
4 123
 
9.2%
1 108
 
8.0%
5 88
 
6.6%
(Missing) 738
55.0%
ValueCountFrequency (%)
1 108
8.0%
2 144
10.7%
3 141
10.5%
4 123
9.2%
5 88
6.6%
ValueCountFrequency (%)
5 88
6.6%
4 123
9.2%
3 141
10.5%
2 144
10.7%
1 108
8.0%

w1_E02_3
Real number (ℝ)

Missing 

Do you use social networking sites for online academic group discussion? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing744
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean2.926421405
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.488867image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.411108443
Coefficient of variation (CV)0.4821959137
Kurtosis-1.268040031
Mean2.926421405
Median Absolute Deviation (MAD)1
Skewness0.1235990588
Sum1750
Variance1.991227038
MonotonicityNot monotonic
2025-02-26T17:42:21.531095image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 136
 
10.1%
3 126
 
9.4%
1 121
 
9.0%
5 119
 
8.9%
4 96
 
7.2%
(Missing) 744
55.4%
ValueCountFrequency (%)
1 121
9.0%
2 136
10.1%
3 126
9.4%
4 96
7.2%
5 119
8.9%
ValueCountFrequency (%)
5 119
8.9%
4 96
7.2%
3 126
9.4%
2 136
10.1%
1 121
9.0%

w1_E02_4
Real number (ℝ)

Missing 

Do you use social networking sites to prepare for an examination? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing740
Missing (%)55.1%
Infinite0
Infinite (%)0.0%
Mean3.059800664
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.571537image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.42700784
Coefficient of variation (CV)0.4663728119
Kurtosis-1.311813857
Mean3.059800664
Median Absolute Deviation (MAD)1
Skewness0.02200954487
Sum1842
Variance2.036351375
MonotonicityNot monotonic
2025-02-26T17:42:21.613578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 144
 
10.7%
2 130
 
9.7%
3 129
 
9.6%
1 107
 
8.0%
4 92
 
6.9%
(Missing) 740
55.1%
ValueCountFrequency (%)
1 107
8.0%
2 130
9.7%
3 129
9.6%
4 92
6.9%
5 144
10.7%
ValueCountFrequency (%)
5 144
10.7%
4 92
6.9%
3 129
9.6%
2 130
9.7%
1 107
8.0%

w1_E02_5
Real number (ℝ)

Missing 

Do you use social networking sites for collaborative learning? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing739
Missing (%)55.1%
Infinite0
Infinite (%)0.0%
Mean2.265339967
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.653941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.26907087
Coefficient of variation (CV)0.5602121043
Kurtosis-0.3621656865
Mean2.265339967
Median Absolute Deviation (MAD)1
Skewness0.8129529134
Sum1366
Variance1.610540873
MonotonicityNot monotonic
2025-02-26T17:42:21.694228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 211
 
15.7%
2 181
 
13.5%
3 106
 
7.9%
5 55
 
4.1%
4 50
 
3.7%
(Missing) 739
55.1%
ValueCountFrequency (%)
1 211
15.7%
2 181
13.5%
3 106
7.9%
4 50
 
3.7%
5 55
 
4.1%
ValueCountFrequency (%)
5 55
 
4.1%
4 50
 
3.7%
3 106
7.9%
2 181
13.5%
1 211
15.7%

w1_E02_6
Real number (ℝ)

Missing 

Do you use social networking sites to keep you up to date with the activities of your university? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing741
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean2.565723794
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.733389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.290771029
Coefficient of variation (CV)0.5030826126
Kurtosis-0.8744499408
Mean2.565723794
Median Absolute Deviation (MAD)1
Skewness0.4374711834
Sum1542
Variance1.66608985
MonotonicityNot monotonic
2025-02-26T17:42:21.774778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 167
 
12.4%
1 152
 
11.3%
3 136
 
10.1%
4 82
 
6.1%
5 64
 
4.8%
(Missing) 741
55.2%
ValueCountFrequency (%)
1 152
11.3%
2 167
12.4%
3 136
10.1%
4 82
6.1%
5 64
 
4.8%
ValueCountFrequency (%)
5 64
 
4.8%
4 82
6.1%
3 136
10.1%
2 167
12.4%
1 152
11.3%

w1_E02_7
Real number (ℝ)

Missing 

Do you use social networking sites to seek help from your teachers? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing741
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean2.198003328
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.816076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.198219237
Coefficient of variation (CV)0.5451398648
Kurtosis-0.2588182942
Mean2.198003328
Median Absolute Deviation (MAD)1
Skewness0.8326871161
Sum1321
Variance1.43572934
MonotonicityNot monotonic
2025-02-26T17:42:21.856062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 210
 
15.6%
2 199
 
14.8%
3 91
 
6.8%
4 65
 
4.8%
5 36
 
2.7%
(Missing) 741
55.2%
ValueCountFrequency (%)
1 210
15.6%
2 199
14.8%
3 91
6.8%
4 65
 
4.8%
5 36
 
2.7%
ValueCountFrequency (%)
5 36
 
2.7%
4 65
 
4.8%
3 91
6.8%
2 199
14.8%
1 210
15.6%

w1_E02_8
Real number (ℝ)

Missing 

Do you use social networking sites to become sociable? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing738
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean3.17218543
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.896456image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.33587613
Coefficient of variation (CV)0.4211217026
Kurtosis-1.129041949
Mean3.17218543
Median Absolute Deviation (MAD)1
Skewness-0.1416461291
Sum1916
Variance1.784565034
MonotonicityNot monotonic
2025-02-26T17:42:21.937851image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 146
 
10.9%
4 133
 
9.9%
5 127
 
9.5%
2 113
 
8.4%
1 85
 
6.3%
(Missing) 738
55.0%
ValueCountFrequency (%)
1 85
6.3%
2 113
8.4%
3 146
10.9%
4 133
9.9%
5 127
9.5%
ValueCountFrequency (%)
5 127
9.5%
4 133
9.9%
3 146
10.9%
2 113
8.4%
1 85
6.3%

w1_E02_9
Real number (ℝ)

Missing 

Do you use social networking sites to create your social identity? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing743
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean2.959933222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:21.978054image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.324479072
Coefficient of variation (CV)0.4474692408
Kurtosis-1.141771386
Mean2.959933222
Median Absolute Deviation (MAD)1
Skewness-0.01290210282
Sum1773
Variance1.754244812
MonotonicityNot monotonic
2025-02-26T17:42:22.020062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 143
 
10.7%
4 137
 
10.2%
2 121
 
9.0%
1 109
 
8.1%
5 89
 
6.6%
(Missing) 743
55.4%
ValueCountFrequency (%)
1 109
8.1%
2 121
9.0%
3 143
10.7%
4 137
10.2%
5 89
6.6%
ValueCountFrequency (%)
5 89
6.6%
4 137
10.2%
3 143
10.7%
2 121
9.0%
1 109
8.1%

w1_E02_10
Real number (ℝ)

Missing 

Do you use social networking sites to attend social gatherings? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing743
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean3.352253756
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:22.060374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.330548242
Coefficient of variation (CV)0.3969115523
Kurtosis-0.9919437352
Mean3.352253756
Median Absolute Deviation (MAD)1
Skewness-0.3874507511
Sum2008
Variance1.770358624
MonotonicityNot monotonic
2025-02-26T17:42:22.168427image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 165
 
12.3%
5 143
 
10.7%
3 129
 
9.6%
2 84
 
6.3%
1 78
 
5.8%
(Missing) 743
55.4%
ValueCountFrequency (%)
1 78
5.8%
2 84
6.3%
3 129
9.6%
4 165
12.3%
5 143
10.7%
ValueCountFrequency (%)
5 143
10.7%
4 165
12.3%
3 129
9.6%
2 84
6.3%
1 78
5.8%

w1_E02_11
Real number (ℝ)

Missing 

Do you use social networking sites to keep in touch with my friends? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing744
Missing (%)55.4%
Infinite0
Infinite (%)0.0%
Mean3.050167224
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:22.208369image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.384585506
Coefficient of variation (CV)0.4539375727
Kurtosis-1.259815813
Mean3.050167224
Median Absolute Deviation (MAD)1
Skewness-0.02553194506
Sum1824
Variance1.917077024
MonotonicityNot monotonic
2025-02-26T17:42:22.249471image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 129
 
9.6%
4 125
 
9.3%
3 121
 
9.0%
5 120
 
8.9%
1 103
 
7.7%
(Missing) 744
55.4%
ValueCountFrequency (%)
1 103
7.7%
2 129
9.6%
3 121
9.0%
4 125
9.3%
5 120
8.9%
ValueCountFrequency (%)
5 120
8.9%
4 125
9.3%
3 121
9.0%
2 129
9.6%
1 103
7.7%

w1_E02_12
Real number (ℝ)

Missing 

Do you use social networking sites to keep in touch with my relatives? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing742
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean1.756666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:22.289371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.021041837
Coefficient of variation (CV)0.5812382374
Kurtosis1.552844625
Mean1.756666667
Median Absolute Deviation (MAD)0
Skewness1.435920623
Sum1054
Variance1.042526433
MonotonicityNot monotonic
2025-02-26T17:42:22.330657image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 322
24.0%
2 165
 
12.3%
3 68
 
5.1%
4 27
 
2.0%
5 18
 
1.3%
(Missing) 742
55.3%
ValueCountFrequency (%)
1 322
24.0%
2 165
12.3%
3 68
 
5.1%
4 27
 
2.0%
5 18
 
1.3%
ValueCountFrequency (%)
5 18
 
1.3%
4 27
 
2.0%
3 68
 
5.1%
2 165
12.3%
1 322
24.0%

w1_E02_13
Real number (ℝ)

Missing 

Do you use social networking sites to get information regarding current social events? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing740
Missing (%)55.1%
Infinite0
Infinite (%)0.0%
Mean1.968438538
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:22.370807image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.185323683
Coefficient of variation (CV)0.6021644364
Kurtosis0.1021294679
Mean1.968438538
Median Absolute Deviation (MAD)1
Skewness1.05955311
Sum1185
Variance1.404992233
MonotonicityNot monotonic
2025-02-26T17:42:22.412145image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 295
 
22.0%
2 139
 
10.4%
3 89
 
6.6%
4 50
 
3.7%
5 29
 
2.2%
(Missing) 740
55.1%
ValueCountFrequency (%)
1 295
22.0%
2 139
10.4%
3 89
 
6.6%
4 50
 
3.7%
5 29
 
2.2%
ValueCountFrequency (%)
5 29
 
2.2%
4 50
 
3.7%
3 89
 
6.6%
2 139
10.4%
1 295
22.0%

w1_E02_14
Real number (ℝ)

Missing 

Do you use social networking sites for sharing pictures? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing739
Missing (%)55.1%
Infinite0
Infinite (%)0.0%
Mean2.633499171
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:22.452869image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.292711049
Coefficient of variation (CV)0.4908720165
Kurtosis-0.9538456377
Mean2.633499171
Median Absolute Deviation (MAD)1
Skewness0.3585893126
Sum1588
Variance1.671101855
MonotonicityNot monotonic
2025-02-26T17:42:22.493350image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 165
 
12.3%
1 141
 
10.5%
3 137
 
10.2%
4 94
 
7.0%
5 66
 
4.9%
(Missing) 739
55.1%
ValueCountFrequency (%)
1 141
10.5%
2 165
12.3%
3 137
10.2%
4 94
7.0%
5 66
 
4.9%
ValueCountFrequency (%)
5 66
 
4.9%
4 94
7.0%
3 137
10.2%
2 165
12.3%
1 141
10.5%

w1_E02_15
Real number (ℝ)

Missing 

Do you use social networking sites to look at funny stories? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing739
Missing (%)55.1%
Infinite0
Infinite (%)0.0%
Mean2.709784411
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:22.533739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.31324221
Coefficient of variation (CV)0.4846297753
Kurtosis-1.120623939
Mean2.709784411
Median Absolute Deviation (MAD)1
Skewness0.1763596934
Sum1634
Variance1.724605103
MonotonicityNot monotonic
2025-02-26T17:42:22.574739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 147
 
11.0%
3 144
 
10.7%
2 128
 
9.5%
4 121
 
9.0%
5 63
 
4.7%
(Missing) 739
55.1%
ValueCountFrequency (%)
1 147
11.0%
2 128
9.5%
3 144
10.7%
4 121
9.0%
5 63
4.7%
ValueCountFrequency (%)
5 63
4.7%
4 121
9.0%
3 144
10.7%
2 128
9.5%
1 147
11.0%

w1_E02_16
Real number (ℝ)

Missing 

Do you use social networking sites for watching movies? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing745
Missing (%)55.5%
Infinite0
Infinite (%)0.0%
Mean2.549413735
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:22.615710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.293888769
Coefficient of variation (CV)0.5075240439
Kurtosis-0.9233592849
Mean2.549413735
Median Absolute Deviation (MAD)1
Skewness0.4106521246
Sum1522
Variance1.674148146
MonotonicityNot monotonic
2025-02-26T17:42:22.656168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 160
 
11.9%
2 155
 
11.5%
3 135
 
10.1%
4 88
 
6.6%
5 59
 
4.4%
(Missing) 745
55.5%
ValueCountFrequency (%)
1 160
11.9%
2 155
11.5%
3 135
10.1%
4 88
6.6%
5 59
 
4.4%
ValueCountFrequency (%)
5 59
 
4.4%
4 88
6.6%
3 135
10.1%
2 155
11.5%
1 160
11.9%

w1_E02_17
Real number (ℝ)

Missing 

Do you use social networking sites to get relief from academic stress? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing742
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean2.623333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:22.695842image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.408816345
Coefficient of variation (CV)0.5370329143
Kurtosis-1.145991255
Mean2.623333333
Median Absolute Deviation (MAD)1
Skewness0.3866788823
Sum1574
Variance1.984763495
MonotonicityNot monotonic
2025-02-26T17:42:22.737660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 173
 
12.9%
2 142
 
10.6%
3 112
 
8.3%
5 89
 
6.6%
4 84
 
6.3%
(Missing) 742
55.3%
ValueCountFrequency (%)
1 173
12.9%
2 142
10.6%
3 112
8.3%
4 84
6.3%
5 89
6.6%
ValueCountFrequency (%)
5 89
6.6%
4 84
6.3%
3 112
8.3%
2 142
10.6%
1 173
12.9%

w1_E02_18
Real number (ℝ)

Missing 

Do you use social networking sites for reading news? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing742
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean2.09
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:22.777918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.257458549
Coefficient of variation (CV)0.6016548083
Kurtosis-0.07735614401
Mean2.09
Median Absolute Deviation (MAD)1
Skewness0.9973172078
Sum1254
Variance1.581202003
MonotonicityNot monotonic
2025-02-26T17:42:22.818576image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 264
 
19.7%
2 157
 
11.7%
3 86
 
6.4%
4 47
 
3.5%
5 46
 
3.4%
(Missing) 742
55.3%
ValueCountFrequency (%)
1 264
19.7%
2 157
11.7%
3 86
 
6.4%
4 47
 
3.5%
5 46
 
3.4%
ValueCountFrequency (%)
5 46
 
3.4%
4 47
 
3.5%
3 86
 
6.4%
2 157
11.7%
1 264
19.7%

w1_E02_19
Real number (ℝ)

Missing 

Do you use social networking sites to share new ideas? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing741
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean2.146422629
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:22.858371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.111391627
Coefficient of variation (CV)0.5177878819
Kurtosis0.0417507386
Mean2.146422629
Median Absolute Deviation (MAD)1
Skewness0.8485099199
Sum1290
Variance1.235191348
MonotonicityNot monotonic
2025-02-26T17:42:22.898886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 207
 
15.4%
1 204
 
15.2%
3 115
 
8.6%
4 48
 
3.6%
5 27
 
2.0%
(Missing) 741
55.2%
ValueCountFrequency (%)
1 204
15.2%
2 207
15.4%
3 115
8.6%
4 48
 
3.6%
5 27
 
2.0%
ValueCountFrequency (%)
5 27
 
2.0%
4 48
 
3.6%
3 115
8.6%
2 207
15.4%
1 204
15.2%

w1_E02_20
Real number (ℝ)

Missing 

Do you use social networking sites for getting jobs related information? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.8%
Missing742
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean2.961666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:22.938200image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.335353575
Coefficient of variation (CV)0.4508790912
Kurtosis-1.169306746
Mean2.961666667
Median Absolute Deviation (MAD)1
Skewness-0.01416231235
Sum1777
Variance1.783169171
MonotonicityNot monotonic
2025-02-26T17:42:22.979578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 139
 
10.4%
3 137
 
10.2%
2 122
 
9.1%
1 111
 
8.3%
5 91
 
6.8%
(Missing) 742
55.3%
ValueCountFrequency (%)
1 111
8.3%
2 122
9.1%
3 137
10.2%
4 139
10.4%
5 91
6.8%
ValueCountFrequency (%)
5 91
6.8%
4 139
10.4%
3 137
10.2%
2 122
9.1%
1 111
8.3%

w1_E02_21
Real number (ℝ)

Missing 

Distinct5
Distinct (%)0.8%
Missing741
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean2.595673877
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:23.020822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.317035024
Coefficient of variation (CV)0.5073961854
Kurtosis-0.9772349885
Mean2.595673877
Median Absolute Deviation (MAD)1
Skewness0.4019579309
Sum1560
Variance1.734581253
MonotonicityNot monotonic
2025-02-26T17:42:23.061646image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 164
 
12.2%
1 153
 
11.4%
3 125
 
9.3%
4 91
 
6.8%
5 68
 
5.1%
(Missing) 741
55.2%
ValueCountFrequency (%)
1 153
11.4%
2 164
12.2%
3 125
9.3%
4 91
6.8%
5 68
5.1%
ValueCountFrequency (%)
5 68
5.1%
4 91
6.8%
3 125
9.3%
2 164
12.2%
1 153
11.4%

w1_E03
Real number (ℝ)

Missing 

You know what a chatbot is? 1. Yes, 2. No [go to F01]

Distinct2
Distinct (%)0.3%
Missing732
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean1.71147541
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:23.103277image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4534481505
Coefficient of variation (CV)0.2649457584
Kurtosis-1.127965411
Mean1.71147541
Median Absolute Deviation (MAD)0
Skewness-0.9358117457
Sum1044
Variance0.2056152252
MonotonicityNot monotonic
2025-02-26T17:42:23.140528image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 434
32.3%
1 176
 
13.1%
(Missing) 732
54.5%
ValueCountFrequency (%)
1 176
13.1%
2 434
32.3%
ValueCountFrequency (%)
2 434
32.3%
1 176
13.1%

w1_E04
Real number (ℝ)

Missing 

Currently, do you use some chatbot? 1. Yes [go to E06], 2. No

Distinct2
Distinct (%)1.1%
Missing1166
Missing (%)86.9%
Infinite0
Infinite (%)0.0%
Mean1.954545455
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:23.176518image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2088931871
Coefficient of variation (CV)0.1068755841
Kurtosis17.57690519
Mean1.954545455
Median Absolute Deviation (MAD)0
Skewness-4.401963714
Sum344
Variance0.04363636364
MonotonicityNot monotonic
2025-02-26T17:42:23.215697image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 168
 
12.5%
1 8
 
0.6%
(Missing) 1166
86.9%
ValueCountFrequency (%)
1 8
 
0.6%
2 168
12.5%
ValueCountFrequency (%)
2 168
12.5%
1 8
 
0.6%

w1_E05
Real number (ℝ)

Missing 

In the past, have you tried to talk/converse with a chatbot? 1. Yes [go to F01], 2. No [go to F01]

Distinct2
Distinct (%)1.2%
Missing1174
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean1.333333333
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:23.252877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.472813805
Coefficient of variation (CV)0.3546103538
Kurtosis-1.509036145
Mean1.333333333
Median Absolute Deviation (MAD)0
Skewness0.7134931214
Sum224
Variance0.2235528942
MonotonicityNot monotonic
2025-02-26T17:42:23.290873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 112
 
8.3%
2 56
 
4.2%
(Missing) 1174
87.5%
ValueCountFrequency (%)
1 112
8.3%
2 56
4.2%
ValueCountFrequency (%)
2 56
4.2%
1 112
8.3%

w1_E06
Real number (ℝ)

Missing 

How many chatbot apps have you installed on your smartphone? N.|__|

Distinct2
Distinct (%)25.0%
Missing1334
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean1.375
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:23.326975image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5175491695
Coefficient of variation (CV)0.376399396
Kurtosis-2.24
Mean1.375
Median Absolute Deviation (MAD)0
Skewness0.6440611887
Sum11
Variance0.2678571429
MonotonicityNot monotonic
2025-02-26T17:42:23.364351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 5
 
0.4%
2 3
 
0.2%
(Missing) 1334
99.4%
ValueCountFrequency (%)
1 5
0.4%
2 3
0.2%
ValueCountFrequency (%)
2 3
0.2%
1 5
0.4%

w1_E07
Text

Missing 

Can you tell us which chatbot(s) you have installed on your smartphone? App Name(s) (________)

Distinct7
Distinct (%)100.0%
Missing1335
Missing (%)99.5%
Memory size10.9 KiB
2025-02-26T17:42:23.429686image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length29
Median length10
Mean length11.85714286
Min length4

Characters and Unicode

Total characters83
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowtelegram
2nd rowdiscord
3rd rowSlack, google chat
4th rowLibros bot
5th rowMp3tool
ValueCountFrequency (%)
telegram 2
15.4%
discord 1
7.7%
slack 1
7.7%
google 1
7.7%
chat 1
7.7%
libros 1
7.7%
bot 1
7.7%
mp3tool 1
7.7%
yana 1
7.7%
whatsapp 1
7.7%
Other values (2) 2
15.4%
2025-02-26T17:42:23.541855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 8
 
9.6%
e 7
 
8.4%
o 7
 
8.4%
6
 
7.2%
t 5
 
6.0%
l 5
 
6.0%
g 4
 
4.8%
r 4
 
4.8%
c 4
 
4.8%
m 3
 
3.6%
Other values (19) 30
36.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 83
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 8
 
9.6%
e 7
 
8.4%
o 7
 
8.4%
6
 
7.2%
t 5
 
6.0%
l 5
 
6.0%
g 4
 
4.8%
r 4
 
4.8%
c 4
 
4.8%
m 3
 
3.6%
Other values (19) 30
36.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 83
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 8
 
9.6%
e 7
 
8.4%
o 7
 
8.4%
6
 
7.2%
t 5
 
6.0%
l 5
 
6.0%
g 4
 
4.8%
r 4
 
4.8%
c 4
 
4.8%
m 3
 
3.6%
Other values (19) 30
36.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 83
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 8
 
9.6%
e 7
 
8.4%
o 7
 
8.4%
6
 
7.2%
t 5
 
6.0%
l 5
 
6.0%
g 4
 
4.8%
r 4
 
4.8%
c 4
 
4.8%
m 3
 
3.6%
Other values (19) 30
36.1%

w1_E08
Real number (ℝ)

Missing 

How often do use the chatbot? (1) Rarely/Never; (2) Every few weeks; (3) A few times a week; (4) About once a day; (5) Several times a day

Distinct5
Distinct (%)62.5%
Missing1334
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:23.586923image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2.5
Q34
95-th percentile4.65
Maximum5
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.488047618
Coefficient of variation (CV)0.5411082248
Kurtosis-1.410197711
Mean2.75
Median Absolute Deviation (MAD)1.5
Skewness0.2167811307
Sum22
Variance2.214285714
MonotonicityNot monotonic
2025-02-26T17:42:23.626442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 2
 
0.1%
4 2
 
0.1%
1 2
 
0.1%
3 1
 
0.1%
5 1
 
0.1%
(Missing) 1334
99.4%
ValueCountFrequency (%)
1 2
0.1%
2 2
0.1%
3 1
0.1%
4 2
0.1%
5 1
0.1%
ValueCountFrequency (%)
5 1
0.1%
4 2
0.1%
3 1
0.1%
2 2
0.1%
1 2
0.1%

w1_E09_1
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot shows you ads (advertisements) based on your online activity? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)62.5%
Missing1334
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:23.666249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q12.75
median3.5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.511857892
Coefficient of variation (CV)0.4319593977
Kurtosis-0.9953125
Mean3.5
Median Absolute Deviation (MAD)1.5
Skewness-0.4960783708
Sum28
Variance2.285714286
MonotonicityNot monotonic
2025-02-26T17:42:23.706533image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3
 
0.2%
3 2
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
4 1
 
0.1%
(Missing) 1334
99.4%
ValueCountFrequency (%)
1 1
 
0.1%
2 1
 
0.1%
3 2
0.1%
4 1
 
0.1%
5 3
0.2%
ValueCountFrequency (%)
5 3
0.2%
4 1
 
0.1%
3 2
0.1%
2 1
 
0.1%
1 1
 
0.1%

w1_E09_2
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot knew who you were, without logging in? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct4
Distinct (%)50.0%
Missing1334
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:23.746826image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.690308509
Coefficient of variation (CV)0.4829452884
Kurtosis-0.973
Mean3.5
Median Absolute Deviation (MAD)1
Skewness-0.8282511696
Sum28
Variance2.857142857
MonotonicityNot monotonic
2025-02-26T17:42:23.786532image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 3
 
0.2%
4 2
 
0.1%
1 2
 
0.1%
3 1
 
0.1%
(Missing) 1334
99.4%
ValueCountFrequency (%)
1 2
0.1%
3 1
 
0.1%
4 2
0.1%
5 3
0.2%
ValueCountFrequency (%)
5 3
0.2%
4 2
0.1%
3 1
 
0.1%
1 2
0.1%

w1_E09_3
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot analysed you, even when using other apps (applications)? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct4
Distinct (%)50.0%
Missing1334
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean3.875
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:23.824046image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12.75
median4.5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.356202682
Coefficient of variation (CV)0.3499877889
Kurtosis-1.685964747
Mean3.875
Median Absolute Deviation (MAD)0.5
Skewness-0.6228126559
Sum31
Variance1.839285714
MonotonicityNot monotonic
2025-02-26T17:42:23.860376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 4
 
0.3%
2 2
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
(Missing) 1334
99.4%
ValueCountFrequency (%)
2 2
0.1%
3 1
 
0.1%
4 1
 
0.1%
5 4
0.3%
ValueCountFrequency (%)
5 4
0.3%
4 1
 
0.1%
3 1
 
0.1%
2 2
0.1%

w1_E09_4
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your age? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)62.5%
Missing1334
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.875
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:23.897561image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2.5
Q34.25
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.642080562
Coefficient of variation (CV)0.5711584563
Kurtosis-1.680417526
Mean2.875
Median Absolute Deviation (MAD)1.5
Skewness0.2621452237
Sum23
Variance2.696428571
MonotonicityNot monotonic
2025-02-26T17:42:23.937868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 2
 
0.1%
2 2
 
0.1%
1 2
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
(Missing) 1334
99.4%
ValueCountFrequency (%)
1 2
0.1%
2 2
0.1%
3 1
0.1%
4 1
0.1%
5 2
0.1%
ValueCountFrequency (%)
5 2
0.1%
4 1
0.1%
3 1
0.1%
2 2
0.1%
1 2
0.1%

w1_E09_5
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your gender? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)62.5%
Missing1334
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean2.875
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:23.976977image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2.5
Q34.25
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.642080562
Coefficient of variation (CV)0.5711584563
Kurtosis-1.680417526
Mean2.875
Median Absolute Deviation (MAD)1.5
Skewness0.2621452237
Sum23
Variance2.696428571
MonotonicityNot monotonic
2025-02-26T17:42:24.016408image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 2
 
0.1%
2 2
 
0.1%
1 2
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
(Missing) 1334
99.4%
ValueCountFrequency (%)
1 2
0.1%
2 2
0.1%
3 1
0.1%
4 1
0.1%
5 2
0.1%
ValueCountFrequency (%)
5 2
0.1%
4 1
0.1%
3 1
0.1%
2 2
0.1%
1 2
0.1%

w1_E09_6
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your religious/political views? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)62.5%
Missing1334
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean3.25
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:24.056421image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median3.5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation1.752549164
Coefficient of variation (CV)0.5392458965
Kurtosis-1.914115738
Mean3.25
Median Absolute Deviation (MAD)1.5
Skewness-0.2919335546
Sum26
Variance3.071428571
MonotonicityNot monotonic
2025-02-26T17:42:24.096787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3
 
0.2%
1 2
 
0.1%
4 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
(Missing) 1334
99.4%
ValueCountFrequency (%)
1 2
0.1%
2 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%
5 3
0.2%
ValueCountFrequency (%)
5 3
0.2%
4 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
1 2
0.1%

w1_E09_7
Real number (ℝ)

Missing 

How much do you agree with the following statement: if individuals or groups perform threatening acts to other users, through the chatbot? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct2
Distinct (%)25.0%
Missing1334
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean4.25
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:24.134733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14.25
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation1.38873015
Coefficient of variation (CV)0.3267600352
Kurtosis0
Mean4.25
Median Absolute Deviation (MAD)0
Skewness-1.4401646
Sum34
Variance1.928571429
MonotonicityNot monotonic
2025-02-26T17:42:24.171690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
5 6
 
0.4%
2 2
 
0.1%
(Missing) 1334
99.4%
ValueCountFrequency (%)
2 2
 
0.1%
5 6
0.4%
ValueCountFrequency (%)
5 6
0.4%
2 2
 
0.1%

w1_F01
Real number (ℝ)

Missing 

Are you a part of, or are you a member of, any student association or group and/or other nonstudents associations? (e.g. religious, political, sports, etc.) 1) Only student ass. [go to F02], 2)Only nonstudent ass. [go to F04], 3) Both, 4) No [go to G01]

Distinct4
Distinct (%)0.7%
Missing738
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean3.314569536
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:24.207378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9960384117
Coefficient of variation (CV)0.3005030972
Kurtosis-0.336674556
Mean3.314569536
Median Absolute Deviation (MAD)0
Skewness-1.066458503
Sum2002
Variance0.9920925175
MonotonicityNot monotonic
2025-02-26T17:42:24.243961image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 384
28.6%
2 114
 
8.5%
3 66
 
4.9%
1 40
 
3.0%
(Missing) 738
55.0%
ValueCountFrequency (%)
1 40
 
3.0%
2 114
 
8.5%
3 66
 
4.9%
4 384
28.6%
ValueCountFrequency (%)
4 384
28.6%
3 66
 
4.9%
2 114
 
8.5%
1 40
 
3.0%

w1_F02
Real number (ℝ)

Missing  Zeros 

Distinct9
Distinct (%)4.1%
Missing1122
Missing (%)83.6%
Infinite0
Infinite (%)0.0%
Mean1.704545455
Minimum0
Maximum20
Zeros45
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:24.281633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4.05
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.882138411
Coefficient of variation (CV)1.104187868
Kurtosis41.38235523
Mean1.704545455
Median Absolute Deviation (MAD)1
Skewness4.825769612
Sum375
Variance3.542444998
MonotonicityNot monotonic
2025-02-26T17:42:24.324857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 75
 
5.6%
2 52
 
3.9%
0 45
 
3.4%
3 28
 
2.1%
4 9
 
0.7%
5 8
 
0.6%
6 1
 
0.1%
10 1
 
0.1%
20 1
 
0.1%
(Missing) 1122
83.6%
ValueCountFrequency (%)
0 45
3.4%
1 75
5.6%
2 52
3.9%
3 28
 
2.1%
4 9
 
0.7%
ValueCountFrequency (%)
20 1
 
0.1%
10 1
 
0.1%
6 1
 
0.1%
5 8
0.6%
4 9
0.7%

w1_F03_1
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Faith

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1313 
True
 
29
ValueCountFrequency (%)
False 1313
97.8%
True 29
 
2.2%
2025-02-26T17:42:24.365024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_2
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Arts and Performance

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1326 
True
 
16
ValueCountFrequency (%)
False 1326
98.8%
True 16
 
1.2%
2025-02-26T17:42:24.397949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_3
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Activity and specialist (e.g., music, alt music, wine, dance, video makers)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1327 
True
 
15
ValueCountFrequency (%)
False 1327
98.9%
True 15
 
1.1%
2025-02-26T17:42:24.431555image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_4
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Cultural and National

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1327 
True
 
15
ValueCountFrequency (%)
False 1327
98.9%
True 15
 
1.1%
2025-02-26T17:42:24.463216image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_5
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Careers

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1302 
True
 
40
ValueCountFrequency (%)
False 1302
97.0%
True 40
 
3.0%
2025-02-26T17:42:24.494816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_6
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Volunteering and Charity

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1301 
True
 
41
ValueCountFrequency (%)
False 1301
96.9%
True 41
 
3.1%
2025-02-26T17:42:24.527317image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_7
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1320 
True
 
22
ValueCountFrequency (%)
False 1320
98.4%
True 22
 
1.6%
2025-02-26T17:42:24.558790image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_8
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Media

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1334 
True
 
8
ValueCountFrequency (%)
False 1334
99.4%
True 8
 
0.6%
2025-02-26T17:42:24.660258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_9
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Sport

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1314 
True
 
28
ValueCountFrequency (%)
False 1314
97.9%
True 28
 
2.1%
2025-02-26T17:42:24.692050image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_10
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Recreational

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1320 
True
 
22
ValueCountFrequency (%)
False 1320
98.4%
True 22
 
1.6%
2025-02-26T17:42:24.723452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_other
Text

Missing 

Please mark the categories of interest of the society(ies) you belong to: Other, specify: ________

Distinct20
Distinct (%)90.9%
Missing1320
Missing (%)98.4%
Memory size11.2 KiB
2025-02-26T17:42:24.799774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length62
Median length23
Mean length20.59090909
Min length3

Characters and Unicode

Total characters453
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)81.8%

Sample

1st rowReligioso
2nd rowCentro de estudiantes
3rd rowFútbol
4th rowComité Científico
5th rowONU
ValueCountFrequency (%)
de 13
20.6%
sociedad 4
 
6.3%
científica 4
 
6.3%
la 4
 
6.3%
estudiantes 3
 
4.8%
religioso 2
 
3.2%
centro 2
 
3.2%
grupo 2
 
3.2%
delegados 2
 
3.2%
fútbol 1
 
1.6%
Other values (26) 26
41.3%
2025-02-26T17:42:24.938338image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 48
 
10.6%
42
 
9.3%
i 40
 
8.8%
o 34
 
7.5%
d 33
 
7.3%
a 33
 
7.3%
t 24
 
5.3%
c 24
 
5.3%
s 19
 
4.2%
n 19
 
4.2%
Other values (31) 137
30.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 453
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 48
 
10.6%
42
 
9.3%
i 40
 
8.8%
o 34
 
7.5%
d 33
 
7.3%
a 33
 
7.3%
t 24
 
5.3%
c 24
 
5.3%
s 19
 
4.2%
n 19
 
4.2%
Other values (31) 137
30.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 453
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 48
 
10.6%
42
 
9.3%
i 40
 
8.8%
o 34
 
7.5%
d 33
 
7.3%
a 33
 
7.3%
t 24
 
5.3%
c 24
 
5.3%
s 19
 
4.2%
n 19
 
4.2%
Other values (31) 137
30.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 453
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 48
 
10.6%
42
 
9.3%
i 40
 
8.8%
o 34
 
7.5%
d 33
 
7.3%
a 33
 
7.3%
t 24
 
5.3%
c 24
 
5.3%
s 19
 
4.2%
n 19
 
4.2%
Other values (31) 137
30.2%

w1_F04_1
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Faith

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1243 
True
 
99
ValueCountFrequency (%)
False 1243
92.6%
True 99
 
7.4%
2025-02-26T17:42:24.984166image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_2
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Arts and Performance

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1324 
True
 
18
ValueCountFrequency (%)
False 1324
98.7%
True 18
 
1.3%
2025-02-26T17:42:25.015652image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_3
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Activity and specialist (e.g., music, alt music, wine, dance, video makers)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1312 
True
 
30
ValueCountFrequency (%)
False 1312
97.8%
True 30
 
2.2%
2025-02-26T17:42:25.048018image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_4
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Cultural and National

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1319 
True
 
23
ValueCountFrequency (%)
False 1319
98.3%
True 23
 
1.7%
2025-02-26T17:42:25.079423image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_5
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Careers

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1329 
True
 
13
ValueCountFrequency (%)
False 1329
99.0%
True 13
 
1.0%
2025-02-26T17:42:25.111385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_6
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Volunteering and Charity

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1275 
True
 
67
ValueCountFrequency (%)
False 1275
95.0%
True 67
 
5.0%
2025-02-26T17:42:25.142945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_7
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1312 
True
 
30
ValueCountFrequency (%)
False 1312
97.8%
True 30
 
2.2%
2025-02-26T17:42:25.174448image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_8
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Media

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1336 
True
 
6
ValueCountFrequency (%)
False 1336
99.6%
True 6
 
0.4%
2025-02-26T17:42:25.206682image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_9
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Sport

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1290 
True
 
52
ValueCountFrequency (%)
False 1290
96.1%
True 52
 
3.9%
2025-02-26T17:42:25.238313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_10
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Recreational

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1296 
True
 
46
ValueCountFrequency (%)
False 1296
96.6%
True 46
 
3.4%
2025-02-26T17:42:25.270743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_other
Text

Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Other, specify

Distinct21
Distinct (%)100.0%
Missing1321
Missing (%)98.4%
Memory size11.2 KiB
2025-02-26T17:42:25.364916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length105
Median length21
Mean length19.23809524
Min length6

Characters and Unicode

Total characters404
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowNinguno
2nd rowUIP JOVEN
3rd rowIntelectuales
4th rowComisión de Universitario distrital, para el traslado de estudiantes a sus respectivas casa universitaria
5th rowCiencia (Astronomía)
ValueCountFrequency (%)
de 5
 
9.6%
comisión 3
 
5.8%
y 2
 
3.8%
ninguno 1
 
1.9%
uip 1
 
1.9%
joven 1
 
1.9%
intelectuales 1
 
1.9%
universitario 1
 
1.9%
distrital 1
 
1.9%
para 1
 
1.9%
Other values (35) 35
67.3%
2025-02-26T17:42:25.521733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 43
 
10.6%
a 36
 
8.9%
o 32
 
7.9%
31
 
7.7%
e 30
 
7.4%
s 29
 
7.2%
n 23
 
5.7%
r 22
 
5.4%
t 17
 
4.2%
l 17
 
4.2%
Other values (35) 124
30.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 404
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 43
 
10.6%
a 36
 
8.9%
o 32
 
7.9%
31
 
7.7%
e 30
 
7.4%
s 29
 
7.2%
n 23
 
5.7%
r 22
 
5.4%
t 17
 
4.2%
l 17
 
4.2%
Other values (35) 124
30.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 404
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 43
 
10.6%
a 36
 
8.9%
o 32
 
7.9%
31
 
7.7%
e 30
 
7.4%
s 29
 
7.2%
n 23
 
5.7%
r 22
 
5.4%
t 17
 
4.2%
l 17
 
4.2%
Other values (35) 124
30.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 404
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 43
 
10.6%
a 36
 
8.9%
o 32
 
7.9%
31
 
7.7%
e 30
 
7.4%
s 29
 
7.2%
n 23
 
5.7%
r 22
 
5.4%
t 17
 
4.2%
l 17
 
4.2%
Other values (35) 124
30.7%

w1_G01_1
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Acted in a theatre play (1) YES (2) NO

Distinct2
Distinct (%)0.3%
Missing754
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean1.833333333
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:25.568831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3729953041
Coefficient of variation (CV)0.2034519841
Kurtosis1.220540824
Mean1.833333333
Median Absolute Deviation (MAD)0
Skewness-1.793432711
Sum1078
Variance0.1391254969
MonotonicityNot monotonic
2025-02-26T17:42:25.606934image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 490
36.5%
1 98
 
7.3%
(Missing) 754
56.2%
ValueCountFrequency (%)
1 98
 
7.3%
2 490
36.5%
ValueCountFrequency (%)
2 490
36.5%
1 98
 
7.3%

w1_G01_2
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Directed a theatre play (1) YES (2) NO

Distinct2
Distinct (%)0.3%
Missing755
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean1.967632027
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:25.643309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1771263241
Coefficient of variation (CV)0.09002004521
Kurtosis26.16069467
Mean1.967632027
Median Absolute Deviation (MAD)0
Skewness-5.298261247
Sum1155
Variance0.03137373467
MonotonicityNot monotonic
2025-02-26T17:42:25.681341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 568
42.3%
1 19
 
1.4%
(Missing) 755
56.3%
ValueCountFrequency (%)
1 19
 
1.4%
2 568
42.3%
ValueCountFrequency (%)
2 568
42.3%
1 19
 
1.4%

w1_G01_3
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Performed as a stand-up comedian (1) YES (2) NO

Distinct2
Distinct (%)0.3%
Missing756
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean1.965870307
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:25.717827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1817173824
Coefficient of variation (CV)0.09243609906
Kurtosis24.55456719
Mean1.965870307
Median Absolute Deviation (MAD)0
Skewness-5.144975644
Sum1152
Variance0.03302120708
MonotonicityNot monotonic
2025-02-26T17:42:25.755000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 566
42.2%
1 20
 
1.5%
(Missing) 756
56.3%
ValueCountFrequency (%)
1 20
 
1.5%
2 566
42.2%
ValueCountFrequency (%)
2 566
42.2%
1 20
 
1.5%

w1_G01_4
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped (1) YES (2) NO

Distinct2
Distinct (%)0.3%
Missing754
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean1.816326531
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:25.792240image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.38754736
Coefficient of variation (CV)0.2133687712
Kurtosis0.6854459629
Mean1.816326531
Median Absolute Deviation (MAD)0
Skewness-1.638025058
Sum1068
Variance0.1501929562
MonotonicityNot monotonic
2025-02-26T17:42:25.829408image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 480
35.8%
1 108
 
8.0%
(Missing) 754
56.2%
ValueCountFrequency (%)
1 108
 
8.0%
2 480
35.8%
ValueCountFrequency (%)
2 480
35.8%
1 108
 
8.0%

w1_G01_5
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Played a musical instrument (1) YES (2) NO

Distinct2
Distinct (%)0.3%
Missing755
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean1.734241908
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:25.865531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4421127867
Coefficient of variation (CV)0.2549314398
Kurtosis-0.8724400939
Mean1.734241908
Median Absolute Deviation (MAD)0
Skewness-1.063270469
Sum1018
Variance0.1954637161
MonotonicityNot monotonic
2025-02-26T17:42:25.904100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 431
32.1%
1 156
 
11.6%
(Missing) 755
56.3%
ValueCountFrequency (%)
1 156
 
11.6%
2 431
32.1%
ValueCountFrequency (%)
2 431
32.1%
1 156
 
11.6%

w1_G01_6
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Played a musical instrument in an orchestra or pop/rock/jazz/folk band (1) YES (2) NO

Distinct2
Distinct (%)0.3%
Missing756
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean1.948805461
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:25.940075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.25
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2205826156
Coefficient of variation (CV)0.1131886276
Kurtosis14.72283332
Mean1.948805461
Median Absolute Deviation (MAD)0
Skewness-4.083209047
Sum1142
Variance0.04865669029
MonotonicityNot monotonic
2025-02-26T17:42:25.978026image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 556
41.4%
1 30
 
2.2%
(Missing) 756
56.3%
ValueCountFrequency (%)
1 30
 
2.2%
2 556
41.4%
ValueCountFrequency (%)
2 556
41.4%
1 30
 
2.2%

w1_G01_7
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Composed music or performed as DJ (1) YES (2) NO

Distinct2
Distinct (%)0.3%
Missing760
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean1.934707904
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.014303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2472530683
Coefficient of variation (CV)0.1277986552
Kurtosis10.48580179
Mean1.934707904
Median Absolute Deviation (MAD)0
Skewness-3.528424538
Sum1126
Variance0.06113407977
MonotonicityNot monotonic
2025-02-26T17:42:26.051438image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 544
40.5%
1 38
 
2.8%
(Missing) 760
56.6%
ValueCountFrequency (%)
1 38
 
2.8%
2 544
40.5%
ValueCountFrequency (%)
2 544
40.5%
1 38
 
2.8%

w1_G01_8
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance) (1) YES (2) NO

Distinct2
Distinct (%)0.3%
Missing755
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean1.703577513
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.088482image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4570690257
Coefficient of variation (CV)0.2682995181
Kurtosis-1.205166211
Mean1.703577513
Median Absolute Deviation (MAD)0
Skewness-0.8938409422
Sum1000
Variance0.2089120942
MonotonicityNot monotonic
2025-02-26T17:42:26.125006image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 413
30.8%
1 174
 
13.0%
(Missing) 755
56.3%
ValueCountFrequency (%)
1 174
13.0%
2 413
30.8%
ValueCountFrequency (%)
2 413
30.8%
1 174
13.0%

w1_G01_9
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Did choreography for a dance performance (1) YES (2) NO

Distinct2
Distinct (%)0.3%
Missing757
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean1.854700855
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.161021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3527037754
Coefficient of variation (CV)0.1901674734
Kurtosis2.080329947
Mean1.854700855
Median Absolute Deviation (MAD)0
Skewness-2.018224312
Sum1085
Variance0.1243999532
MonotonicityNot monotonic
2025-02-26T17:42:26.199109image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 500
37.3%
1 85
 
6.3%
(Missing) 757
56.4%
ValueCountFrequency (%)
1 85
 
6.3%
2 500
37.3%
ValueCountFrequency (%)
2 500
37.3%
1 85
 
6.3%

w1_G02_1
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Theatre plays? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing757
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean2.297435897
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.235147image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.8
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.441939187
Coefficient of variation (CV)0.6276297801
Kurtosis0.2995000708
Mean2.297435897
Median Absolute Deviation (MAD)1
Skewness1.075788527
Sum1344
Variance2.07918862
MonotonicityNot monotonic
2025-02-26T17:42:26.272979image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 228
 
17.0%
2 154
 
11.5%
3 93
 
6.9%
4 51
 
3.8%
6 30
 
2.2%
5 29
 
2.2%
(Missing) 757
56.4%
ValueCountFrequency (%)
1 228
17.0%
2 154
11.5%
3 93
6.9%
4 51
 
3.8%
5 29
 
2.2%
ValueCountFrequency (%)
6 30
 
2.2%
5 29
 
2.2%
4 51
 
3.8%
3 93
6.9%
2 154
11.5%

w1_G02_2
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Cabarets, or a stand-up comedy? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing757
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean2.376068376
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.308625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.517740388
Coefficient of variation (CV)0.6387612425
Kurtosis-0.09270715607
Mean2.376068376
Median Absolute Deviation (MAD)1
Skewness0.9598819893
Sum1390
Variance2.303535886
MonotonicityNot monotonic
2025-02-26T17:42:26.345671image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 232
 
17.3%
2 134
 
10.0%
3 89
 
6.6%
4 63
 
4.7%
6 36
 
2.7%
5 31
 
2.3%
(Missing) 757
56.4%
ValueCountFrequency (%)
1 232
17.3%
2 134
10.0%
3 89
 
6.6%
4 63
 
4.7%
5 31
 
2.3%
ValueCountFrequency (%)
6 36
 
2.7%
5 31
 
2.3%
4 63
4.7%
3 89
6.6%
2 134
10.0%

w1_G02_3
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Ballets or a modern dance? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing756
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean2.600682594
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.382665image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.656151304
Coefficient of variation (CV)0.6368140839
Kurtosis-0.6157109165
Mean2.600682594
Median Absolute Deviation (MAD)1
Skewness0.773884974
Sum1524
Variance2.74283714
MonotonicityNot monotonic
2025-02-26T17:42:26.420844image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 210
 
15.6%
2 128
 
9.5%
3 86
 
6.4%
4 66
 
4.9%
6 56
 
4.2%
5 40
 
3.0%
(Missing) 756
56.3%
ValueCountFrequency (%)
1 210
15.6%
2 128
9.5%
3 86
6.4%
4 66
 
4.9%
5 40
 
3.0%
ValueCountFrequency (%)
6 56
4.2%
5 40
 
3.0%
4 66
4.9%
3 86
6.4%
2 128
9.5%

w1_G02_4
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Classical music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing758
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean2.767123288
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.457414image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.624389986
Coefficient of variation (CV)0.5870320245
Kurtosis-0.7620015985
Mean2.767123288
Median Absolute Deviation (MAD)1
Skewness0.6232605364
Sum1616
Variance2.638642825
MonotonicityNot monotonic
2025-02-26T17:42:26.497032image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 167
 
12.4%
2 139
 
10.4%
3 99
 
7.4%
4 76
 
5.7%
6 55
 
4.1%
5 48
 
3.6%
(Missing) 758
56.5%
ValueCountFrequency (%)
1 167
12.4%
2 139
10.4%
3 99
7.4%
4 76
5.7%
5 48
 
3.6%
ValueCountFrequency (%)
6 55
 
4.1%
5 48
 
3.6%
4 76
5.7%
3 99
7.4%
2 139
10.4%

w1_G02_5
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Opera? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing760
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean1.848797251
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.533913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2602039
Coefficient of variation (CV)0.6816344514
Kurtosis2.50297246
Mean1.848797251
Median Absolute Deviation (MAD)0
Skewness1.72124267
Sum1076
Variance1.588113869
MonotonicityNot monotonic
2025-02-26T17:42:26.573033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 327
24.4%
2 128
 
9.5%
3 69
 
5.1%
4 23
 
1.7%
6 19
 
1.4%
5 16
 
1.2%
(Missing) 760
56.6%
ValueCountFrequency (%)
1 327
24.4%
2 128
 
9.5%
3 69
 
5.1%
4 23
 
1.7%
5 16
 
1.2%
ValueCountFrequency (%)
6 19
 
1.4%
5 16
 
1.2%
4 23
 
1.7%
3 69
5.1%
2 128
9.5%

w1_G02_6
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Musical? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing760
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean2.895189003
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.609534image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.662902161
Coefficient of variation (CV)0.5743673932
Kurtosis-0.9170145536
Mean2.895189003
Median Absolute Deviation (MAD)1
Skewness0.4983533558
Sum1685
Variance2.765243596
MonotonicityNot monotonic
2025-02-26T17:42:26.648602image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 161
 
12.0%
3 120
 
8.9%
2 110
 
8.2%
4 75
 
5.6%
6 64
 
4.8%
5 52
 
3.9%
(Missing) 760
56.6%
ValueCountFrequency (%)
1 161
12.0%
2 110
8.2%
3 120
8.9%
4 75
5.6%
5 52
 
3.9%
ValueCountFrequency (%)
6 64
4.8%
5 52
3.9%
4 75
5.6%
3 120
8.9%
2 110
8.2%

w1_G02_7
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Pop or rock? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing757
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean3.936752137
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.685001image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.800237726
Coefficient of variation (CV)0.4572900868
Kurtosis-1.258939558
Mean3.936752137
Median Absolute Deviation (MAD)2
Skewness-0.3415407269
Sum2303
Variance3.240855872
MonotonicityNot monotonic
2025-02-26T17:42:26.723929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 167
 
12.4%
5 103
 
7.7%
3 91
 
6.8%
1 89
 
6.6%
4 77
 
5.7%
2 58
 
4.3%
(Missing) 757
56.4%
ValueCountFrequency (%)
1 89
6.6%
2 58
4.3%
3 91
6.8%
4 77
5.7%
5 103
7.7%
ValueCountFrequency (%)
6 167
12.4%
5 103
7.7%
4 77
5.7%
3 91
6.8%
2 58
 
4.3%

w1_G02_8
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Jazz or blues? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing760
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean2.597938144
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.761573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.623789116
Coefficient of variation (CV)0.6250299376
Kurtosis-0.5723658313
Mean2.597938144
Median Absolute Deviation (MAD)1
Skewness0.7630625759
Sum1512
Variance2.636691094
MonotonicityNot monotonic
2025-02-26T17:42:26.798839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 204
 
15.2%
2 125
 
9.3%
3 96
 
7.2%
4 66
 
4.9%
6 51
 
3.8%
5 40
 
3.0%
(Missing) 760
56.6%
ValueCountFrequency (%)
1 204
15.2%
2 125
9.3%
3 96
7.2%
4 66
 
4.9%
5 40
 
3.0%
ValueCountFrequency (%)
6 51
3.8%
5 40
 
3.0%
4 66
4.9%
3 96
7.2%
2 125
9.3%

w1_G02_9
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Folk music concert? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing755
Missing (%)56.3%
Infinite0
Infinite (%)0.0%
Mean2.61669506
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.835266image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.571263045
Coefficient of variation (CV)0.6004761768
Kurtosis-0.4204079612
Mean2.61669506
Median Absolute Deviation (MAD)1
Skewness0.7846887612
Sum1536
Variance2.468867557
MonotonicityNot monotonic
2025-02-26T17:42:26.874109image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 183
 
13.6%
2 146
 
10.9%
3 105
 
7.8%
4 69
 
5.1%
6 50
 
3.7%
5 34
 
2.5%
(Missing) 755
56.3%
ValueCountFrequency (%)
1 183
13.6%
2 146
10.9%
3 105
7.8%
4 69
 
5.1%
5 34
 
2.5%
ValueCountFrequency (%)
6 50
 
3.7%
5 34
 
2.5%
4 69
5.1%
3 105
7.8%
2 146
10.9%

w1_G02_10
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of World music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing758
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean3.566780822
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.911811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3.5
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.769474124
Coefficient of variation (CV)0.4960983622
Kurtosis-1.339867724
Mean3.566780822
Median Absolute Deviation (MAD)1.5
Skewness-0.00718505302
Sum2083
Variance3.131038676
MonotonicityNot monotonic
2025-02-26T17:42:26.951125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 122
 
9.1%
3 99
 
7.4%
1 98
 
7.3%
2 95
 
7.1%
5 86
 
6.4%
4 84
 
6.3%
(Missing) 758
56.5%
ValueCountFrequency (%)
1 98
7.3%
2 95
7.1%
3 99
7.4%
4 84
6.3%
5 86
6.4%
ValueCountFrequency (%)
6 122
9.1%
5 86
6.4%
4 84
6.3%
3 99
7.4%
2 95
7.1%

w1_G02_11
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Urban (rap, hip-hop, trap)? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing759
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean3.343053173
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:26.987570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.785484314
Coefficient of variation (CV)0.5340879195
Kurtosis-1.339726896
Mean3.343053173
Median Absolute Deviation (MAD)2
Skewness0.1402346604
Sum1949
Variance3.187954236
MonotonicityNot monotonic
2025-02-26T17:42:27.026470image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 124
 
9.2%
6 103
 
7.7%
2 103
 
7.7%
3 89
 
6.6%
4 86
 
6.4%
5 78
 
5.8%
(Missing) 759
56.6%
ValueCountFrequency (%)
1 124
9.2%
2 103
7.7%
3 89
6.6%
4 86
6.4%
5 78
5.8%
ValueCountFrequency (%)
6 103
7.7%
5 78
5.8%
4 86
6.4%
3 89
6.6%
2 103
7.7%

w1_G02_12
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Dance or house? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing764
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean2.894463668
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:27.062822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.754697722
Coefficient of variation (CV)0.6062255131
Kurtosis-1.112260733
Mean2.894463668
Median Absolute Deviation (MAD)1
Skewness0.4938463507
Sum1673
Variance3.078964097
MonotonicityNot monotonic
2025-02-26T17:42:27.102226image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 176
 
13.1%
2 117
 
8.7%
3 83
 
6.2%
6 71
 
5.3%
4 67
 
5.0%
5 64
 
4.8%
(Missing) 764
56.9%
ValueCountFrequency (%)
1 176
13.1%
2 117
8.7%
3 83
6.2%
4 67
 
5.0%
5 64
 
4.8%
ValueCountFrequency (%)
6 71
5.3%
5 64
4.8%
4 67
5.0%
3 83
6.2%
2 117
8.7%

w1_G02_13
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Popular national or local music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing762
Missing (%)56.8%
Infinite0
Infinite (%)0.0%
Mean3.301724138
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:27.139027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.662446267
Coefficient of variation (CV)0.5035085301
Kurtosis-1.138328708
Mean3.301724138
Median Absolute Deviation (MAD)1
Skewness0.2129755249
Sum1915
Variance2.763727592
MonotonicityNot monotonic
2025-02-26T17:42:27.177264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 118
 
8.8%
2 114
 
8.5%
1 100
 
7.5%
4 91
 
6.8%
6 84
 
6.3%
5 73
 
5.4%
(Missing) 762
56.8%
ValueCountFrequency (%)
1 100
7.5%
2 114
8.5%
3 118
8.8%
4 91
6.8%
5 73
5.4%
ValueCountFrequency (%)
6 84
6.3%
5 73
5.4%
4 91
6.8%
3 118
8.8%
2 114
8.5%

w1_G02_14
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of A singer/songwriter? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing759
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean4.061749571
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:27.282637image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.710979812
Coefficient of variation (CV)0.4212420736
Kurtosis-1.10743041
Mean4.061749571
Median Absolute Deviation (MAD)2
Skewness-0.4019650474
Sum2368
Variance2.927451917
MonotonicityNot monotonic
2025-02-26T17:42:27.321681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 171
 
12.7%
5 105
 
7.8%
3 103
 
7.7%
4 83
 
6.2%
1 66
 
4.9%
2 55
 
4.1%
(Missing) 759
56.6%
ValueCountFrequency (%)
1 66
4.9%
2 55
4.1%
3 103
7.7%
4 83
6.2%
5 105
7.8%
ValueCountFrequency (%)
6 171
12.7%
5 105
7.8%
4 83
6.2%
3 103
7.7%
2 55
 
4.1%

w1_G02_15
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Other music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing761
Missing (%)56.7%
Infinite0
Infinite (%)0.0%
Mean3.908777969
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:27.359079image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.81381919
Coefficient of variation (CV)0.4640374063
Kurtosis-1.322869866
Mean3.908777969
Median Absolute Deviation (MAD)2
Skewness-0.286551211
Sum2271
Variance3.289940056
MonotonicityNot monotonic
2025-02-26T17:42:27.398140image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 171
 
12.7%
5 88
 
6.6%
1 85
 
6.3%
4 83
 
6.2%
3 80
 
6.0%
2 74
 
5.5%
(Missing) 761
56.7%
ValueCountFrequency (%)
1 85
6.3%
2 74
5.5%
3 80
6.0%
4 83
6.2%
5 88
6.6%
ValueCountFrequency (%)
6 171
12.7%
5 88
6.6%
4 83
6.2%
3 80
6.0%
2 74
5.5%

w1_G02_16
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of A sport events? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)1.0%
Missing757
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean3.305982906
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:27.435546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.908088883
Coefficient of variation (CV)0.577162356
Kurtosis-1.484702857
Mean3.305982906
Median Absolute Deviation (MAD)2
Skewness0.165828499
Sum1934
Variance3.640803185
MonotonicityNot monotonic
2025-02-26T17:42:27.474891image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 155
 
11.5%
6 122
 
9.1%
2 93
 
6.9%
5 77
 
5.7%
3 76
 
5.7%
4 62
 
4.6%
(Missing) 757
56.4%
ValueCountFrequency (%)
1 155
11.5%
2 93
6.9%
3 76
5.7%
4 62
 
4.6%
5 77
5.7%
ValueCountFrequency (%)
6 122
9.1%
5 77
5.7%
4 62
4.6%
3 76
5.7%
2 93
6.9%

w1_G03_1
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing788
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean3.628158845
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:27.511866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.537594421
Coefficient of variation (CV)0.4237946813
Kurtosis-1.18071829
Mean3.628158845
Median Absolute Deviation (MAD)1
Skewness-0.6096276605
Sum2010
Variance2.364196604
MonotonicityNot monotonic
2025-02-26T17:42:27.553967image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 261
 
19.4%
1 89
 
6.6%
3 78
 
5.8%
4 65
 
4.8%
2 61
 
4.5%
(Missing) 788
58.7%
ValueCountFrequency (%)
1 89
 
6.6%
2 61
 
4.5%
3 78
 
5.8%
4 65
 
4.8%
5 261
19.4%
ValueCountFrequency (%)
5 261
19.4%
4 65
 
4.8%
3 78
 
5.8%
2 61
 
4.5%
1 89
 
6.6%

w1_G03_2
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing791
Missing (%)58.9%
Infinite0
Infinite (%)0.0%
Mean3.617059891
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:27.678588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.530418622
Coefficient of variation (CV)0.4231112196
Kurtosis-1.158035962
Mean3.617059891
Median Absolute Deviation (MAD)1
Skewness-0.6119894187
Sum1993
Variance2.342181158
MonotonicityNot monotonic
2025-02-26T17:42:27.720603image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 252
 
18.8%
1 90
 
6.7%
3 79
 
5.9%
4 73
 
5.4%
2 57
 
4.2%
(Missing) 791
58.9%
ValueCountFrequency (%)
1 90
 
6.7%
2 57
 
4.2%
3 79
 
5.9%
4 73
 
5.4%
5 252
18.8%
ValueCountFrequency (%)
5 252
18.8%
4 73
 
5.4%
3 79
 
5.9%
2 57
 
4.2%
1 90
 
6.7%

w1_G03_3
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing789
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean4.377938517
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:27.760760image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.24091689
Coefficient of variation (CV)0.2834477655
Kurtosis1.930421934
Mean4.377938517
Median Absolute Deviation (MAD)0
Skewness-1.842672758
Sum2421
Variance1.539874728
MonotonicityNot monotonic
2025-02-26T17:42:27.802999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 418
31.1%
1 41
 
3.1%
4 36
 
2.7%
3 30
 
2.2%
2 28
 
2.1%
(Missing) 789
58.8%
ValueCountFrequency (%)
1 41
 
3.1%
2 28
 
2.1%
3 30
 
2.2%
4 36
 
2.7%
5 418
31.1%
ValueCountFrequency (%)
5 418
31.1%
4 36
 
2.7%
3 30
 
2.2%
2 28
 
2.1%
1 41
 
3.1%

w1_G03_4
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing788
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean4.11732852
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:27.842623image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.344316041
Coefficient of variation (CV)0.3265020107
Kurtosis0.1185222505
Mean4.11732852
Median Absolute Deviation (MAD)0
Skewness-1.254766059
Sum2281
Variance1.807185617
MonotonicityNot monotonic
2025-02-26T17:42:27.883917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 350
26.1%
4 59
 
4.4%
3 51
 
3.8%
2 48
 
3.6%
1 46
 
3.4%
(Missing) 788
58.7%
ValueCountFrequency (%)
1 46
 
3.4%
2 48
 
3.6%
3 51
 
3.8%
4 59
 
4.4%
5 350
26.1%
ValueCountFrequency (%)
5 350
26.1%
4 59
 
4.4%
3 51
 
3.8%
2 48
 
3.6%
1 46
 
3.4%

w1_G03_5
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing791
Missing (%)58.9%
Infinite0
Infinite (%)0.0%
Mean4.439201452
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:27.925907image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.240024376
Coefficient of variation (CV)0.2793350086
Kurtosis2.581303148
Mean4.439201452
Median Absolute Deviation (MAD)0
Skewness-2.03942945
Sum2446
Variance1.537660452
MonotonicityNot monotonic
2025-02-26T17:42:27.965348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 440
32.8%
1 45
 
3.4%
4 25
 
1.9%
2 22
 
1.6%
3 19
 
1.4%
(Missing) 791
58.9%
ValueCountFrequency (%)
1 45
 
3.4%
2 22
 
1.6%
3 19
 
1.4%
4 25
 
1.9%
5 440
32.8%
ValueCountFrequency (%)
5 440
32.8%
4 25
 
1.9%
3 19
 
1.4%
2 22
 
1.6%
1 45
 
3.4%

w1_G03_6
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing788
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean4.664259928
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.005416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9804161446
Coefficient of variation (CV)0.210197579
Kurtosis7.86993446
Mean4.664259928
Median Absolute Deviation (MAD)0
Skewness-3.018988879
Sum2584
Variance0.9612158166
MonotonicityNot monotonic
2025-02-26T17:42:28.051202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 480
35.8%
4 27
 
2.0%
1 27
 
2.0%
2 11
 
0.8%
3 9
 
0.7%
(Missing) 788
58.7%
ValueCountFrequency (%)
1 27
 
2.0%
2 11
 
0.8%
3 9
 
0.7%
4 27
 
2.0%
5 480
35.8%
ValueCountFrequency (%)
5 480
35.8%
4 27
 
2.0%
3 9
 
0.7%
2 11
 
0.8%
1 27
 
2.0%

w1_G03_7
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing789
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean4.594936709
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.096957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.045405599
Coefficient of variation (CV)0.2275125134
Kurtosis5.402387994
Mean4.594936709
Median Absolute Deviation (MAD)0
Skewness-2.587881806
Sum2541
Variance1.092872867
MonotonicityNot monotonic
2025-02-26T17:42:28.139298image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 464
34.6%
4 27
 
2.0%
1 27
 
2.0%
2 19
 
1.4%
3 16
 
1.2%
(Missing) 789
58.8%
ValueCountFrequency (%)
1 27
 
2.0%
2 19
 
1.4%
3 16
 
1.2%
4 27
 
2.0%
5 464
34.6%
ValueCountFrequency (%)
5 464
34.6%
4 27
 
2.0%
3 16
 
1.2%
2 19
 
1.4%
1 27
 
2.0%

w1_G03_8
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing792
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean4.585454545
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.179076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.074191047
Coefficient of variation (CV)0.2342605376
Kurtosis5.115494401
Mean4.585454545
Median Absolute Deviation (MAD)0
Skewness-2.550110713
Sum2522
Variance1.153886405
MonotonicityNot monotonic
2025-02-26T17:42:28.219495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 464
34.6%
1 30
 
2.2%
4 22
 
1.6%
2 18
 
1.3%
3 16
 
1.2%
(Missing) 792
59.0%
ValueCountFrequency (%)
1 30
 
2.2%
2 18
 
1.3%
3 16
 
1.2%
4 22
 
1.6%
5 464
34.6%
ValueCountFrequency (%)
5 464
34.6%
4 22
 
1.6%
3 16
 
1.2%
2 18
 
1.3%
1 30
 
2.2%

w1_G03_9
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing791
Missing (%)58.9%
Infinite0
Infinite (%)0.0%
Mean4.31215971
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.258737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.344557061
Coefficient of variation (CV)0.3118059515
Kurtosis1.249068556
Mean4.31215971
Median Absolute Deviation (MAD)0
Skewness-1.699565526
Sum2376
Variance1.807833691
MonotonicityNot monotonic
2025-02-26T17:42:28.299062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 417
31.1%
1 55
 
4.1%
2 28
 
2.1%
4 27
 
2.0%
3 24
 
1.8%
(Missing) 791
58.9%
ValueCountFrequency (%)
1 55
 
4.1%
2 28
 
2.1%
3 24
 
1.8%
4 27
 
2.0%
5 417
31.1%
ValueCountFrequency (%)
5 417
31.1%
4 27
 
2.0%
3 24
 
1.8%
2 28
 
2.1%
1 55
 
4.1%

w1_G03_10
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing789
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean4.571428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.338262image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.120808271
Coefficient of variation (CV)0.2451768093
Kurtosis4.981678414
Mean4.571428571
Median Absolute Deviation (MAD)0
Skewness-2.5464163
Sum2528
Variance1.25621118
MonotonicityNot monotonic
2025-02-26T17:42:28.377926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 468
34.9%
1 39
 
2.9%
4 21
 
1.6%
3 15
 
1.1%
2 10
 
0.7%
(Missing) 789
58.8%
ValueCountFrequency (%)
1 39
 
2.9%
2 10
 
0.7%
3 15
 
1.1%
4 21
 
1.6%
5 468
34.9%
ValueCountFrequency (%)
5 468
34.9%
4 21
 
1.6%
3 15
 
1.1%
2 10
 
0.7%
1 39
 
2.9%

w1_G04_1
Real number (ℝ)

Missing 

During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing769
Missing (%)57.3%
Infinite0
Infinite (%)0.0%
Mean2.863874346
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.418887image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.496722643
Coefficient of variation (CV)0.5226216175
Kurtosis-1.375668005
Mean2.863874346
Median Absolute Deviation (MAD)1
Skewness0.1552613507
Sum1641
Variance2.240178669
MonotonicityNot monotonic
2025-02-26T17:42:28.460300image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 152
 
11.3%
5 127
 
9.5%
3 118
 
8.8%
2 102
 
7.6%
4 74
 
5.5%
(Missing) 769
57.3%
ValueCountFrequency (%)
1 152
11.3%
2 102
7.6%
3 118
8.8%
4 74
5.5%
5 127
9.5%
ValueCountFrequency (%)
5 127
9.5%
4 74
5.5%
3 118
8.8%
2 102
7.6%
1 152
11.3%

w1_G04_2
Real number (ℝ)

Missing 

During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing771
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean3.232924694
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.501550image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.442476559
Coefficient of variation (CV)0.4461831611
Kurtosis-1.314208585
Mean3.232924694
Median Absolute Deviation (MAD)1
Skewness-0.1448699637
Sum1846
Variance2.080738624
MonotonicityNot monotonic
2025-02-26T17:42:28.543400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 167
 
12.4%
3 128
 
9.5%
2 102
 
7.6%
1 91
 
6.8%
4 83
 
6.2%
(Missing) 771
57.5%
ValueCountFrequency (%)
1 91
6.8%
2 102
7.6%
3 128
9.5%
4 83
6.2%
5 167
12.4%
ValueCountFrequency (%)
5 167
12.4%
4 83
6.2%
3 128
9.5%
2 102
7.6%
1 91
6.8%

w1_G04_3
Real number (ℝ)

Missing 

During the last year or so... Did you visit a museum in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing779
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean3.435168739
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.583819image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.454153249
Coefficient of variation (CV)0.4233134845
Kurtosis-1.3365626
Mean3.435168739
Median Absolute Deviation (MAD)1
Skewness-0.3013080651
Sum1934
Variance2.114561671
MonotonicityNot monotonic
2025-02-26T17:42:28.624145image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 209
 
15.6%
2 106
 
7.9%
3 105
 
7.8%
4 73
 
5.4%
1 70
 
5.2%
(Missing) 779
58.0%
ValueCountFrequency (%)
1 70
 
5.2%
2 106
7.9%
3 105
7.8%
4 73
 
5.4%
5 209
15.6%
ValueCountFrequency (%)
5 209
15.6%
4 73
 
5.4%
3 105
7.8%
2 106
7.9%
1 70
 
5.2%

w1_G04_4
Real number (ℝ)

Missing 

During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing781
Missing (%)58.2%
Infinite0
Infinite (%)0.0%
Mean3.524064171
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.663186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.472319073
Coefficient of variation (CV)0.417790086
Kurtosis-1.309233572
Mean3.524064171
Median Absolute Deviation (MAD)1
Skewness-0.4195988122
Sum1977
Variance2.167723453
MonotonicityNot monotonic
2025-02-26T17:42:28.703416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 227
 
16.9%
2 103
 
7.7%
3 81
 
6.0%
4 81
 
6.0%
1 69
 
5.1%
(Missing) 781
58.2%
ValueCountFrequency (%)
1 69
 
5.1%
2 103
7.7%
3 81
 
6.0%
4 81
 
6.0%
5 227
16.9%
ValueCountFrequency (%)
5 227
16.9%
4 81
 
6.0%
3 81
 
6.0%
2 103
7.7%
1 69
 
5.1%

w1_G04_5
Real number (ℝ)

Missing 

During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing774
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean3.054577465
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.742435image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.439740876
Coefficient of variation (CV)0.4713387997
Kurtosis-1.338819641
Mean3.054577465
Median Absolute Deviation (MAD)1
Skewness0.04653809824
Sum1735
Variance2.072853789
MonotonicityNot monotonic
2025-02-26T17:42:28.784425image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 141
 
10.5%
2 129
 
9.6%
3 117
 
8.7%
1 101
 
7.5%
4 80
 
6.0%
(Missing) 774
57.7%
ValueCountFrequency (%)
1 101
7.5%
2 129
9.6%
3 117
8.7%
4 80
6.0%
5 141
10.5%
ValueCountFrequency (%)
5 141
10.5%
4 80
6.0%
3 117
8.7%
2 129
9.6%
1 101
7.5%

w1_G04_6
Real number (ℝ)

Missing 

During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing773
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean3.553602812
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.824914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.446593323
Coefficient of variation (CV)0.4070779431
Kurtosis-1.202590504
Mean3.553602812
Median Absolute Deviation (MAD)1
Skewness-0.4678431549
Sum2022
Variance2.092632243
MonotonicityNot monotonic
2025-02-26T17:42:28.864366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 228
 
17.0%
3 97
 
7.2%
2 89
 
6.6%
4 86
 
6.4%
1 69
 
5.1%
(Missing) 773
57.6%
ValueCountFrequency (%)
1 69
 
5.1%
2 89
 
6.6%
3 97
7.2%
4 86
 
6.4%
5 228
17.0%
ValueCountFrequency (%)
5 228
17.0%
4 86
 
6.4%
3 97
7.2%
2 89
 
6.6%
1 69
 
5.1%

w1_G04_7
Real number (ℝ)

Missing 

During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing773
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean4.369068541
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.904594image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.242226255
Coefficient of variation (CV)0.2843229038
Kurtosis1.849915208
Mean4.369068541
Median Absolute Deviation (MAD)0
Skewness-1.811155531
Sum2486
Variance1.543126067
MonotonicityNot monotonic
2025-02-26T17:42:28.944455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 429
32.0%
1 43
 
3.2%
3 42
 
3.1%
4 31
 
2.3%
2 24
 
1.8%
(Missing) 773
57.6%
ValueCountFrequency (%)
1 43
 
3.2%
2 24
 
1.8%
3 42
 
3.1%
4 31
 
2.3%
5 429
32.0%
ValueCountFrequency (%)
5 429
32.0%
4 31
 
2.3%
3 42
 
3.1%
2 24
 
1.8%
1 43
 
3.2%

w1_G04_8
Real number (ℝ)

Missing 

During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing770
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean2.844405594
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:28.984570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.508384098
Coefficient of variation (CV)0.5302985275
Kurtosis-1.368359229
Mean2.844405594
Median Absolute Deviation (MAD)1
Skewness0.2261287198
Sum1627
Variance2.275222588
MonotonicityNot monotonic
2025-02-26T17:42:29.025916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 149
 
11.1%
5 136
 
10.1%
2 118
 
8.8%
3 114
 
8.5%
4 55
 
4.1%
(Missing) 770
57.4%
ValueCountFrequency (%)
1 149
11.1%
2 118
8.8%
3 114
8.5%
4 55
 
4.1%
5 136
10.1%
ValueCountFrequency (%)
5 136
10.1%
4 55
 
4.1%
3 114
8.5%
2 118
8.8%
1 149
11.1%

w1_G04_9
Real number (ℝ)

Missing 

During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing772
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean3.28245614
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:29.067487image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.388836082
Coefficient of variation (CV)0.4231088009
Kurtosis-1.251847453
Mean3.28245614
Median Absolute Deviation (MAD)1
Skewness-0.1592252029
Sum1871
Variance1.928865662
MonotonicityNot monotonic
2025-02-26T17:42:29.108817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 162
 
12.1%
3 129
 
9.6%
2 113
 
8.4%
4 94
 
7.0%
1 72
 
5.4%
(Missing) 772
57.5%
ValueCountFrequency (%)
1 72
5.4%
2 113
8.4%
3 129
9.6%
4 94
7.0%
5 162
12.1%
ValueCountFrequency (%)
5 162
12.1%
4 94
7.0%
3 129
9.6%
2 113
8.4%
1 72
5.4%

w1_G04_10
Real number (ℝ)

Missing 

During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.9%
Missing771
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean3.134851138
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:29.148749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.40463922
Coefficient of variation (CV)0.4480720639
Kurtosis-1.275233398
Mean3.134851138
Median Absolute Deviation (MAD)1
Skewness-0.01611517639
Sum1790
Variance1.973011337
MonotonicityNot monotonic
2025-02-26T17:42:29.191037image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 146
 
10.9%
3 135
 
10.1%
2 122
 
9.1%
1 87
 
6.5%
4 81
 
6.0%
(Missing) 771
57.5%
ValueCountFrequency (%)
1 87
6.5%
2 122
9.1%
3 135
10.1%
4 81
6.0%
5 146
10.9%
ValueCountFrequency (%)
5 146
10.9%
4 81
6.0%
3 135
10.1%
2 122
9.1%
1 87
6.5%

w1_G05_1
Real number (ℝ)

Missing 

During the last year or so... How often did you visit a bookshop in your own country or abroad? 1. Never, 2., 3., 4., 5., 6. Very often

Distinct6
Distinct (%)1.1%
Missing781
Missing (%)58.2%
Infinite0
Infinite (%)0.0%
Mean3.049910873
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:29.231399image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.565591225
Coefficient of variation (CV)0.5133235987
Kurtosis-0.7874594779
Mean3.049910873
Median Absolute Deviation (MAD)1
Skewness0.4662678339
Sum1711
Variance2.451075885
MonotonicityNot monotonic
2025-02-26T17:42:29.270918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 140
 
10.4%
3 123
 
9.2%
1 100
 
7.5%
4 91
 
6.8%
6 63
 
4.7%
5 44
 
3.3%
(Missing) 781
58.2%
ValueCountFrequency (%)
1 100
7.5%
2 140
10.4%
3 123
9.2%
4 91
6.8%
5 44
 
3.3%
ValueCountFrequency (%)
6 63
4.7%
5 44
 
3.3%
4 91
6.8%
3 123
9.2%
2 140
10.4%

w1_G05_2
Real number (ℝ)

Missing 

During the last year or so... How often did you visit an online bookshop and/or search for literature and other material available in a library on the internet? 1. Never, 2., 3., 4., 5., 6. Very often

Distinct6
Distinct (%)1.1%
Missing784
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean3.786738351
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:29.307717image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.74990221
Coefficient of variation (CV)0.4621133143
Kurtosis-1.234691681
Mean3.786738351
Median Absolute Deviation (MAD)2
Skewness-0.1716076442
Sum2113
Variance3.062157745
MonotonicityNot monotonic
2025-02-26T17:42:29.346491image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 145
 
10.8%
4 121
 
9.0%
3 81
 
6.0%
1 80
 
6.0%
2 73
 
5.4%
5 58
 
4.3%
(Missing) 784
58.4%
ValueCountFrequency (%)
1 80
6.0%
2 73
5.4%
3 81
6.0%
4 121
9.0%
5 58
4.3%
ValueCountFrequency (%)
6 145
10.8%
5 58
 
4.3%
4 121
9.0%
3 81
6.0%
2 73
5.4%

w1_G06
Real number (ℝ)

Missing 

Approximately, how many books (printed or eBook) do you have where you live? 1. None 2. 1-25 3. 26-50 4. 51-100 5. 101-200 6. 201-400 7. More than 400

Distinct7
Distinct (%)1.3%
Missing802
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean3.675925926
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:29.381938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3.5
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.579252681
Coefficient of variation (CV)0.4296203766
Kurtosis-0.6581483489
Mean3.675925926
Median Absolute Deviation (MAD)1.5
Skewness0.529677898
Sum1985
Variance2.49403903
MonotonicityNot monotonic
2025-02-26T17:42:29.419193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 157
 
11.7%
4 114
 
8.5%
3 103
 
7.7%
5 78
 
5.8%
6 40
 
3.0%
7 38
 
2.8%
1 10
 
0.7%
(Missing) 802
59.8%
ValueCountFrequency (%)
1 10
 
0.7%
2 157
11.7%
3 103
7.7%
4 114
8.5%
5 78
5.8%
ValueCountFrequency (%)
7 38
 
2.8%
6 40
 
3.0%
5 78
5.8%
4 114
8.5%
3 103
7.7%

w1_G07_1
Real number (ℝ)

Missing 

During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)0.4%
Missing797
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean1.255045872
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:29.458184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4362874454
Coefficient of variation (CV)0.3476266926
Kurtosis-0.7324859624
Mean1.255045872
Median Absolute Deviation (MAD)0
Skewness1.127038406
Sum684
Variance0.190346735
MonotonicityNot monotonic
2025-02-26T17:42:29.494635image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 406
30.3%
2 139
 
10.4%
(Missing) 797
59.4%
ValueCountFrequency (%)
1 406
30.3%
2 139
 
10.4%
ValueCountFrequency (%)
2 139
 
10.4%
1 406
30.3%

w1_G07_2
Real number (ℝ)

Missing 

During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)0.4%
Missing797
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean1.240366972
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:29.530987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4276988843
Coefficient of variation (CV)0.3448164082
Kurtosis-0.5170115817
Mean1.240366972
Median Absolute Deviation (MAD)0
Skewness1.218564407
Sum676
Variance0.1829263357
MonotonicityNot monotonic
2025-02-26T17:42:29.568404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 414
30.8%
2 131
 
9.8%
(Missing) 797
59.4%
ValueCountFrequency (%)
1 414
30.8%
2 131
 
9.8%
ValueCountFrequency (%)
2 131
 
9.8%
1 414
30.8%

w1_G08_1
Boolean

Which kind of books did you read? (tick all that apply): Literature & Novels

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1048 
True
294 
ValueCountFrequency (%)
False 1048
78.1%
True 294
 
21.9%
2025-02-26T17:42:29.603689image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_2
Boolean

Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1122 
True
220 
ValueCountFrequency (%)
False 1122
83.6%
True 220
 
16.4%
2025-02-26T17:42:29.636655image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_3
Boolean

Which kind of books did you read? (tick all that apply): Mystery & Thrillers

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1182 
True
160 
ValueCountFrequency (%)
False 1182
88.1%
True 160
 
11.9%
2025-02-26T17:42:29.740802image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_4
Boolean

Which kind of books did you read? (tick all that apply): History

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1180 
True
162 
ValueCountFrequency (%)
False 1180
87.9%
True 162
 
12.1%
2025-02-26T17:42:29.773898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_5
Boolean

Imbalance 

Which kind of books did you read? (tick all that apply): Biographies

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1261 
True
 
81
ValueCountFrequency (%)
False 1261
94.0%
True 81
 
6.0%
2025-02-26T17:42:29.807144image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_6
Boolean

Which kind of books did you read? (tick all that apply): Health, Mind & Body

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1165 
True
177 
ValueCountFrequency (%)
False 1165
86.8%
True 177
 
13.2%
2025-02-26T17:42:29.838863image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_7
Boolean

Which kind of books did you read? (tick all that apply): Other kind of books

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
False
1157 
True
185 
ValueCountFrequency (%)
False 1157
86.2%
True 185
 
13.8%
2025-02-26T17:42:29.871558image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G09
Real number (ℝ)

Missing  Zeros 

In the last year or so, approximately how many books have you read (not for study)? |__|__|

Distinct29
Distinct (%)6.7%
Missing906
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean6.747706422
Minimum0
Maximum168
Zeros19
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:29.909464image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q36
95-th percentile21
Maximum168
Range168
Interquartile range (IQR)4

Descriptive statistics

Standard deviation13.79457229
Coefficient of variation (CV)2.044334982
Kurtosis59.80636462
Mean6.747706422
Median Absolute Deviation (MAD)2
Skewness6.83818546
Sum2942
Variance190.2902246
MonotonicityNot monotonic
2025-02-26T17:42:29.956353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2 87
 
6.5%
3 80
 
6.0%
1 53
 
3.9%
5 48
 
3.6%
4 35
 
2.6%
10 20
 
1.5%
0 19
 
1.4%
6 19
 
1.4%
15 10
 
0.7%
7 9
 
0.7%
Other values (19) 56
 
4.2%
(Missing) 906
67.5%
ValueCountFrequency (%)
0 19
 
1.4%
1 53
3.9%
2 87
6.5%
3 80
6.0%
4 35
2.6%
ValueCountFrequency (%)
168 1
 
0.1%
100 3
0.2%
86 1
 
0.1%
75 1
 
0.1%
50 2
0.1%

w1_G10_1
Real number (ℝ)

Missing 

Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)1.1%
Missing804
Missing (%)59.9%
Infinite0
Infinite (%)0.0%
Mean3.908921933
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:29.997816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.551437835
Coefficient of variation (CV)0.3968966027
Kurtosis-1.151997822
Mean3.908921933
Median Absolute Deviation (MAD)1
Skewness-0.2740105023
Sum2103
Variance2.406959357
MonotonicityNot monotonic
2025-02-26T17:42:30.036901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 167
 
12.4%
3 117
 
8.7%
6 88
 
6.6%
2 82
 
6.1%
4 47
 
3.5%
1 37
 
2.8%
(Missing) 804
59.9%
ValueCountFrequency (%)
1 37
 
2.8%
2 82
6.1%
3 117
8.7%
4 47
 
3.5%
5 167
12.4%
ValueCountFrequency (%)
6 88
6.6%
5 167
12.4%
4 47
 
3.5%
3 117
8.7%
2 82
6.1%

w1_G10_2
Real number (ℝ)

Missing 

Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)1.1%
Missing806
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean3.220149254
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:30.074634image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.563618131
Coefficient of variation (CV)0.4855731856
Kurtosis-1.086264601
Mean3.220149254
Median Absolute Deviation (MAD)1
Skewness0.2848429684
Sum1726
Variance2.44490166
MonotonicityNot monotonic
2025-02-26T17:42:30.113655image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 136
 
10.1%
3 118
 
8.8%
5 97
 
7.2%
1 75
 
5.6%
4 60
 
4.5%
6 50
 
3.7%
(Missing) 806
60.1%
ValueCountFrequency (%)
1 75
5.6%
2 136
10.1%
3 118
8.8%
4 60
4.5%
5 97
7.2%
ValueCountFrequency (%)
6 50
 
3.7%
5 97
7.2%
4 60
4.5%
3 118
8.8%
2 136
10.1%

w1_G10_3
Real number (ℝ)

Missing 

Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)1.1%
Missing806
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean4.276119403
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:30.151526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.567863198
Coefficient of variation (CV)0.3666556169
Kurtosis-0.7859630644
Mean4.276119403
Median Absolute Deviation (MAD)1
Skewness-0.6331662521
Sum2292
Variance2.458195006
MonotonicityNot monotonic
2025-02-26T17:42:30.189887image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 166
 
12.4%
6 141
 
10.5%
3 82
 
6.1%
4 56
 
4.2%
2 55
 
4.1%
1 36
 
2.7%
(Missing) 806
60.1%
ValueCountFrequency (%)
1 36
 
2.7%
2 55
 
4.1%
3 82
6.1%
4 56
 
4.2%
5 166
12.4%
ValueCountFrequency (%)
6 141
10.5%
5 166
12.4%
4 56
 
4.2%
3 82
6.1%
2 55
 
4.1%

w1_G10_4
Real number (ℝ)

Missing 

Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)1.1%
Missing806
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean3.014925373
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:30.227158image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.659794265
Coefficient of variation (CV)0.5505258207
Kurtosis-1.105196934
Mean3.014925373
Median Absolute Deviation (MAD)1
Skewness0.414409667
Sum1616
Variance2.754917004
MonotonicityNot monotonic
2025-02-26T17:42:30.265495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 132
 
9.8%
1 119
 
8.9%
3 98
 
7.3%
5 85
 
6.3%
6 53
 
3.9%
4 49
 
3.7%
(Missing) 806
60.1%
ValueCountFrequency (%)
1 119
8.9%
2 132
9.8%
3 98
7.3%
4 49
 
3.7%
5 85
6.3%
ValueCountFrequency (%)
6 53
3.9%
5 85
6.3%
4 49
 
3.7%
3 98
7.3%
2 132
9.8%

w1_G11_1
Real number (ℝ)

Missing 

Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct5
Distinct (%)0.9%
Missing802
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean1.968518519
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:30.301801image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.012413504
Coefficient of variation (CV)0.5143022505
Kurtosis0.3428713135
Mean1.968518519
Median Absolute Deviation (MAD)1
Skewness1.021431639
Sum1063
Variance1.024981104
MonotonicityNot monotonic
2025-02-26T17:42:30.342207image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 222
 
16.5%
1 204
 
15.2%
4 57
 
4.2%
3 49
 
3.7%
5 8
 
0.6%
(Missing) 802
59.8%
ValueCountFrequency (%)
1 204
15.2%
2 222
16.5%
3 49
 
3.7%
4 57
 
4.2%
5 8
 
0.6%
ValueCountFrequency (%)
5 8
 
0.6%
4 57
 
4.2%
3 49
 
3.7%
2 222
16.5%
1 204
15.2%

w1_G11_2
Real number (ℝ)

Missing 

Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct5
Distinct (%)0.9%
Missing807
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean3.714018692
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:30.381306image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.31915083
Coefficient of variation (CV)0.3551815271
Kurtosis-0.7153266374
Mean3.714018692
Median Absolute Deviation (MAD)1
Skewness-0.7396196032
Sum1987
Variance1.740158914
MonotonicityNot monotonic
2025-02-26T17:42:30.422000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 195
 
14.5%
4 162
 
12.1%
2 80
 
6.0%
3 53
 
3.9%
1 45
 
3.4%
(Missing) 807
60.1%
ValueCountFrequency (%)
1 45
 
3.4%
2 80
6.0%
3 53
 
3.9%
4 162
12.1%
5 195
14.5%
ValueCountFrequency (%)
5 195
14.5%
4 162
12.1%
3 53
 
3.9%
2 80
6.0%
1 45
 
3.4%

w1_H01f
Real number (ℝ)

Missing 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Distinct10
Distinct (%)1.8%
Missing801
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean4.589648799
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:30.462778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.134766026
Coefficient of variation (CV)0.4651262265
Kurtosis0.0002200115267
Mean4.589648799
Median Absolute Deviation (MAD)1
Skewness0.293633172
Sum2483
Variance4.557225988
MonotonicityNot monotonic
2025-02-26T17:42:30.501690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 170
 
12.7%
3 88
 
6.6%
6 73
 
5.4%
1 57
 
4.2%
4 50
 
3.7%
2 29
 
2.2%
9 26
 
1.9%
7 24
 
1.8%
8 13
 
1.0%
10 11
 
0.8%
(Missing) 801
59.7%
ValueCountFrequency (%)
1 57
 
4.2%
2 29
 
2.2%
3 88
6.6%
4 50
 
3.7%
5 170
12.7%
ValueCountFrequency (%)
10 11
 
0.8%
9 26
 
1.9%
8 13
 
1.0%
7 24
 
1.8%
6 73
5.4%

w1_H01f_other
Text

Missing 

Which is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____

Distinct11
Distinct (%)100.0%
Missing1331
Missing (%)99.2%
Memory size11.1 KiB
2025-02-26T17:42:30.582365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length40
Median length28
Mean length26
Min length7

Characters and Unicode

Total characters286
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)100.0%

Sample

1st rowEducación superior y postgrados
2nd rowAbogado
3rd rowMecanico y electricista y administracion
4th row3 año de ingeniería agronómica
5th rowUna especialidad de medicina
ValueCountFrequency (%)
y 5
 
11.4%
de 5
 
11.4%
año 2
 
4.5%
no 2
 
4.5%
educación 1
 
2.3%
superior 1
 
2.3%
postgrados 1
 
2.3%
abogado 1
 
2.3%
mecanico 1
 
2.3%
electricista 1
 
2.3%
Other values (24) 24
54.5%
2025-02-26T17:42:30.717478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
11.9%
a 29
10.1%
i 26
 
9.1%
o 22
 
7.7%
e 21
 
7.3%
d 20
 
7.0%
c 20
 
7.0%
n 20
 
7.0%
r 16
 
5.6%
s 12
 
4.2%
Other values (25) 66
23.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 286
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
34
11.9%
a 29
10.1%
i 26
 
9.1%
o 22
 
7.7%
e 21
 
7.3%
d 20
 
7.0%
c 20
 
7.0%
n 20
 
7.0%
r 16
 
5.6%
s 12
 
4.2%
Other values (25) 66
23.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 286
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
34
11.9%
a 29
10.1%
i 26
 
9.1%
o 22
 
7.7%
e 21
 
7.3%
d 20
 
7.0%
c 20
 
7.0%
n 20
 
7.0%
r 16
 
5.6%
s 12
 
4.2%
Other values (25) 66
23.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 286
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
34
11.9%
a 29
10.1%
i 26
 
9.1%
o 22
 
7.7%
e 21
 
7.3%
d 20
 
7.0%
c 20
 
7.0%
n 20
 
7.0%
r 16
 
5.6%
s 12
 
4.2%
Other values (25) 66
23.1%

w1_H01m
Real number (ℝ)

Missing 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Distinct10
Distinct (%)1.9%
Missing804
Missing (%)59.9%
Infinite0
Infinite (%)0.0%
Mean4.371747212
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:30.763767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.972648428
Coefficient of variation (CV)0.4512265537
Kurtosis0.3193637383
Mean4.371747212
Median Absolute Deviation (MAD)1
Skewness0.2210700909
Sum2352
Variance3.891341821
MonotonicityNot monotonic
2025-02-26T17:42:30.800902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 191
 
14.2%
3 81
 
6.0%
1 63
 
4.7%
4 62
 
4.6%
6 59
 
4.4%
2 29
 
2.2%
7 22
 
1.6%
8 11
 
0.8%
9 11
 
0.8%
10 9
 
0.7%
(Missing) 804
59.9%
ValueCountFrequency (%)
1 63
 
4.7%
2 29
 
2.2%
3 81
6.0%
4 62
 
4.6%
5 191
14.2%
ValueCountFrequency (%)
10 9
 
0.7%
9 11
 
0.8%
8 11
 
0.8%
7 22
 
1.6%
6 59
4.4%

w1_H01m_other
Text

Missing 

Which is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____

Distinct9
Distinct (%)100.0%
Missing1333
Missing (%)99.3%
Memory size11.1 KiB
2025-02-26T17:42:30.880603image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length109
Median length32
Mean length31.22222222
Min length9

Characters and Unicode

Total characters281
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st rowPost Grado en didáctica universitaria
2nd rowSu curso normal hasta sexto grado pero después de los cuarenta hizo un curso rápido y termino un bachillerato
3rd rowLicenciatura
4th rowVendedora
5th rowNo termino su carrera universitaria
ValueCountFrequency (%)
grado 3
 
6.8%
de 3
 
6.8%
post 2
 
4.5%
universitaria 2
 
4.5%
su 2
 
4.5%
curso 2
 
4.5%
un 2
 
4.5%
y 2
 
4.5%
termino 2
 
4.5%
no 2
 
4.5%
Other values (22) 22
50.0%
2025-02-26T17:42:31.011778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
12.5%
a 28
10.0%
r 23
 
8.2%
i 22
 
7.8%
o 21
 
7.5%
e 21
 
7.5%
s 17
 
6.0%
d 16
 
5.7%
n 15
 
5.3%
c 14
 
5.0%
Other values (24) 69
24.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 281
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
35
12.5%
a 28
10.0%
r 23
 
8.2%
i 22
 
7.8%
o 21
 
7.5%
e 21
 
7.5%
s 17
 
6.0%
d 16
 
5.7%
n 15
 
5.3%
c 14
 
5.0%
Other values (24) 69
24.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 281
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
35
12.5%
a 28
10.0%
r 23
 
8.2%
i 22
 
7.8%
o 21
 
7.5%
e 21
 
7.5%
s 17
 
6.0%
d 16
 
5.7%
n 15
 
5.3%
c 14
 
5.0%
Other values (24) 69
24.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 281
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
35
12.5%
a 28
10.0%
r 23
 
8.2%
i 22
 
7.8%
o 21
 
7.5%
e 21
 
7.5%
s 17
 
6.0%
d 16
 
5.7%
n 15
 
5.3%
c 14
 
5.0%
Other values (24) 69
24.6%

w1_H01fLSE
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_H01mLSE
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_H02f
Real number (ℝ)

Missing 

When you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct9
Distinct (%)1.7%
Missing803
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean2.350649351
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:31.058251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.221359338
Coefficient of variation (CV)0.9449981715
Kurtosis2.727359173
Mean2.350649351
Median Absolute Deviation (MAD)1
Skewness2.018158155
Sum1267
Variance4.93443731
MonotonicityNot monotonic
2025-02-26T17:42:31.100573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 247
 
18.4%
2 201
 
15.0%
8 24
 
1.8%
9 20
 
1.5%
7 19
 
1.4%
3 14
 
1.0%
5 5
 
0.4%
6 5
 
0.4%
4 4
 
0.3%
(Missing) 803
59.8%
ValueCountFrequency (%)
1 247
18.4%
2 201
15.0%
3 14
 
1.0%
4 4
 
0.3%
5 5
 
0.4%
ValueCountFrequency (%)
9 20
1.5%
8 24
1.8%
7 19
1.4%
6 5
 
0.4%
5 5
 
0.4%

w1_H03af
Real number (ℝ)

Missing 

More precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct19
Distinct (%)7.3%
Missing1081
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean7.624521073
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:31.141663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median7
Q313
95-th percentile19
Maximum19
Range18
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.041269309
Coefficient of variation (CV)0.7923473818
Kurtosis-0.8969821705
Mean7.624521073
Median Absolute Deviation (MAD)5
Skewness0.7043862361
Sum1990
Variance36.49693487
MonotonicityNot monotonic
2025-02-26T17:42:31.182201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 47
 
3.5%
7 41
 
3.1%
3 40
 
3.0%
1 23
 
1.7%
19 23
 
1.7%
14 11
 
0.8%
5 10
 
0.7%
17 10
 
0.7%
18 9
 
0.7%
10 8
 
0.6%
Other values (9) 39
 
2.9%
(Missing) 1081
80.6%
ValueCountFrequency (%)
1 23
1.7%
2 47
3.5%
3 40
3.0%
4 2
 
0.1%
5 10
 
0.7%
ValueCountFrequency (%)
19 23
1.7%
18 9
 
0.7%
17 10
0.7%
16 1
 
0.1%
15 5
 
0.4%

w1_H03af_other
Text

Missing 

More precisely he or guardian is/was an….? Answer: Other, please specify: _____

Distinct19
Distinct (%)100.0%
Missing1323
Missing (%)98.6%
Memory size11.1 KiB
2025-02-26T17:42:31.263655image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length36
Median length20
Mean length16.36842105
Min length6

Characters and Unicode

Total characters311
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st rowFuncionario público
2nd rowEmpleado público
3rd rowDirector de una escuela
4th rowNegocio
5th rowjubilado
ValueCountFrequency (%)
de 7
 
14.9%
público 2
 
4.3%
una 2
 
4.3%
jefe 2
 
4.3%
en 2
 
4.3%
un 2
 
4.3%
funcionario 1
 
2.1%
empleado 1
 
2.1%
director 1
 
2.1%
escuela 1
 
2.1%
Other values (26) 26
55.3%
2025-02-26T17:42:31.486843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 39
12.5%
28
 
9.0%
o 25
 
8.0%
i 22
 
7.1%
r 21
 
6.8%
a 20
 
6.4%
d 20
 
6.4%
n 15
 
4.8%
c 15
 
4.8%
l 13
 
4.2%
Other values (27) 93
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 311
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 39
12.5%
28
 
9.0%
o 25
 
8.0%
i 22
 
7.1%
r 21
 
6.8%
a 20
 
6.4%
d 20
 
6.4%
n 15
 
4.8%
c 15
 
4.8%
l 13
 
4.2%
Other values (27) 93
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 311
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 39
12.5%
28
 
9.0%
o 25
 
8.0%
i 22
 
7.1%
r 21
 
6.8%
a 20
 
6.4%
d 20
 
6.4%
n 15
 
4.8%
c 15
 
4.8%
l 13
 
4.2%
Other values (27) 93
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 311
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 39
12.5%
28
 
9.0%
o 25
 
8.0%
i 22
 
7.1%
r 21
 
6.8%
a 20
 
6.4%
d 20
 
6.4%
n 15
 
4.8%
c 15
 
4.8%
l 13
 
4.2%
Other values (27) 93
29.9%

w1_H03bf
Real number (ℝ)

Missing 

w1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct15
Distinct (%)7.5%
Missing1141
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean6.76119403
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:31.540569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q38
95-th percentile16
Maximum16
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.817954604
Coefficient of variation (CV)0.7125893123
Kurtosis-0.4627498437
Mean6.76119403
Median Absolute Deviation (MAD)3
Skewness0.9403820747
Sum1359
Variance23.21268657
MonotonicityNot monotonic
2025-02-26T17:42:31.584341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 58
 
4.3%
16 29
 
2.2%
2 29
 
2.2%
8 19
 
1.4%
5 16
 
1.2%
6 12
 
0.9%
1 9
 
0.7%
7 6
 
0.4%
12 5
 
0.4%
14 4
 
0.3%
Other values (5) 14
 
1.0%
(Missing) 1141
85.0%
ValueCountFrequency (%)
1 9
 
0.7%
2 29
2.2%
3 3
 
0.2%
4 58
4.3%
5 16
 
1.2%
ValueCountFrequency (%)
16 29
2.2%
15 3
 
0.2%
14 4
 
0.3%
12 5
 
0.4%
11 3
 
0.2%

w1_H03bf_other
Text

Missing 

w1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____

Distinct17
Distinct (%)94.4%
Missing1324
Missing (%)98.7%
Memory size11.1 KiB
2025-02-26T17:42:31.678387image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length61
Median length23
Mean length19.11111111
Min length6

Characters and Unicode

Total characters344
Distinct characters40
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)88.9%

Sample

1st rowMedico
2nd rowEMPRESA PROPIA
3rd rowInversiones inmobiliarias, inversionista, broker inmobiliario
4th rowAgricultura
5th rowAbogado
ValueCountFrequency (%)
abogado 3
 
7.3%
empresa 2
 
4.9%
en 2
 
4.9%
independiente 2
 
4.9%
de 2
 
4.9%
medico 1
 
2.4%
propia 1
 
2.4%
inversiones 1
 
2.4%
inmobiliarias 1
 
2.4%
inversionista 1
 
2.4%
Other values (25) 25
61.0%
2025-02-26T17:42:31.822500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 39
 
11.3%
o 31
 
9.0%
i 29
 
8.4%
a 24
 
7.0%
n 24
 
7.0%
23
 
6.7%
r 23
 
6.7%
c 17
 
4.9%
s 16
 
4.7%
t 16
 
4.7%
Other values (30) 102
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 344
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 39
 
11.3%
o 31
 
9.0%
i 29
 
8.4%
a 24
 
7.0%
n 24
 
7.0%
23
 
6.7%
r 23
 
6.7%
c 17
 
4.9%
s 16
 
4.7%
t 16
 
4.7%
Other values (30) 102
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 344
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 39
 
11.3%
o 31
 
9.0%
i 29
 
8.4%
a 24
 
7.0%
n 24
 
7.0%
23
 
6.7%
r 23
 
6.7%
c 17
 
4.9%
s 16
 
4.7%
t 16
 
4.7%
Other values (30) 102
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 344
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 39
 
11.3%
o 31
 
9.0%
i 29
 
8.4%
a 24
 
7.0%
n 24
 
7.0%
23
 
6.7%
r 23
 
6.7%
c 17
 
4.9%
s 16
 
4.7%
t 16
 
4.7%
Other values (30) 102
29.7%

w1_H02m
Real number (ℝ)

Missing 

When you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct9
Distinct (%)1.7%
Missing804
Missing (%)59.9%
Infinite0
Infinite (%)0.0%
Mean2.607806691
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:31.869207image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.03884402
Coefficient of variation (CV)0.781823295
Kurtosis1.647394599
Mean2.607806691
Median Absolute Deviation (MAD)1
Skewness1.470104435
Sum1403
Variance4.156884938
MonotonicityNot monotonic
2025-02-26T17:42:31.909281image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 227
 
16.9%
4 127
 
9.5%
2 126
 
9.4%
8 20
 
1.5%
6 14
 
1.0%
9 12
 
0.9%
7 5
 
0.4%
5 4
 
0.3%
3 3
 
0.2%
(Missing) 804
59.9%
ValueCountFrequency (%)
1 227
16.9%
2 126
9.4%
3 3
 
0.2%
4 127
9.5%
5 4
 
0.3%
ValueCountFrequency (%)
9 12
0.9%
8 20
1.5%
7 5
 
0.4%
6 14
1.0%
5 4
 
0.3%

w1_H03am
Real number (ℝ)

Missing 

More precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct15
Distinct (%)6.6%
Missing1113
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean7.502183406
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:31.949221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q310
95-th percentile19
Maximum19
Range18
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.405994443
Coefficient of variation (CV)0.7205894804
Kurtosis-0.1598146785
Mean7.502183406
Median Absolute Deviation (MAD)3
Skewness0.9454052354
Sum1718
Variance29.22477591
MonotonicityNot monotonic
2025-02-26T17:42:31.990480image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3 33
 
2.5%
7 30
 
2.2%
5 28
 
2.1%
2 23
 
1.7%
6 22
 
1.6%
19 19
 
1.4%
11 16
 
1.2%
1 15
 
1.1%
10 10
 
0.7%
8 7
 
0.5%
Other values (5) 26
 
1.9%
(Missing) 1113
82.9%
ValueCountFrequency (%)
1 15
1.1%
2 23
1.7%
3 33
2.5%
5 28
2.1%
6 22
1.6%
ValueCountFrequency (%)
19 19
1.4%
18 7
 
0.5%
17 5
 
0.4%
15 7
 
0.5%
13 1
 
0.1%

w1_H03am_other
Text

Missing 

More precisely she or guardian is/was an….? Answer: Other, please specify: _____

Distinct12
Distinct (%)100.0%
Missing1330
Missing (%)99.1%
Memory size11.0 KiB
2025-02-26T17:42:32.075865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length40
Median length23.5
Mean length19.58333333
Min length6

Characters and Unicode

Total characters235
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st rowLimpiadora en una universidad
2nd rowPersonal de blanco
3rd rowgerente de operaciones
4th rowabogada indigenista, presidenta del indi
5th rowAuditora pública
ValueCountFrequency (%)
de 3
 
8.8%
limpiadora 2
 
5.9%
en 2
 
5.9%
pública 2
 
5.9%
una 1
 
2.9%
universidad 1
 
2.9%
personal 1
 
2.9%
blanco 1
 
2.9%
gerente 1
 
2.9%
operaciones 1
 
2.9%
Other values (19) 19
55.9%
2025-02-26T17:42:32.217140image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 26
11.1%
i 24
 
10.2%
e 23
 
9.8%
22
 
9.4%
n 18
 
7.7%
r 15
 
6.4%
d 14
 
6.0%
o 13
 
5.5%
s 10
 
4.3%
c 10
 
4.3%
Other values (23) 60
25.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 235
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 26
11.1%
i 24
 
10.2%
e 23
 
9.8%
22
 
9.4%
n 18
 
7.7%
r 15
 
6.4%
d 14
 
6.0%
o 13
 
5.5%
s 10
 
4.3%
c 10
 
4.3%
Other values (23) 60
25.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 235
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 26
11.1%
i 24
 
10.2%
e 23
 
9.8%
22
 
9.4%
n 18
 
7.7%
r 15
 
6.4%
d 14
 
6.0%
o 13
 
5.5%
s 10
 
4.3%
c 10
 
4.3%
Other values (23) 60
25.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 235
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 26
11.1%
i 24
 
10.2%
e 23
 
9.8%
22
 
9.4%
n 18
 
7.7%
r 15
 
6.4%
d 14
 
6.0%
o 13
 
5.5%
s 10
 
4.3%
c 10
 
4.3%
Other values (23) 60
25.5%

w1_H03bm
Real number (ℝ)

Missing 

w1_H04bm - More precisely she or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct13
Distinct (%)10.3%
Missing1216
Missing (%)90.6%
Infinite0
Infinite (%)0.0%
Mean5.928571429
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:32.262013image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.25
Q14
median5
Q37
95-th percentile16
Maximum16
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.008348431
Coefficient of variation (CV)0.6761069642
Kurtosis1.195806314
Mean5.928571429
Median Absolute Deviation (MAD)2
Skewness1.370214649
Sum747
Variance16.06685714
MonotonicityNot monotonic
2025-02-26T17:42:32.302690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4 33
 
2.5%
6 17
 
1.3%
2 14
 
1.0%
5 11
 
0.8%
8 11
 
0.8%
16 10
 
0.7%
7 9
 
0.7%
3 7
 
0.5%
1 7
 
0.5%
14 3
 
0.2%
Other values (3) 4
 
0.3%
(Missing) 1216
90.6%
ValueCountFrequency (%)
1 7
 
0.5%
2 14
1.0%
3 7
 
0.5%
4 33
2.5%
5 11
 
0.8%
ValueCountFrequency (%)
16 10
0.7%
14 3
 
0.2%
13 2
 
0.1%
12 1
 
0.1%
11 1
 
0.1%

w1_H03bm_other
Text

Missing 

w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____

Distinct7
Distinct (%)100.0%
Missing1335
Missing (%)99.5%
Memory size10.9 KiB
2025-02-26T17:42:32.383838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length40
Median length21
Mean length19.42857143
Min length7

Characters and Unicode

Total characters136
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowDoctora
2nd rowVISITADORA MÉDICA
3rd rowCosturera
4th rowabogada independiente
5th rowDueños de comercio independiente (super)
ValueCountFrequency (%)
independiente 2
 
11.8%
de 2
 
11.8%
doctora 1
 
5.9%
visitadora 1
 
5.9%
médica 1
 
5.9%
costurera 1
 
5.9%
abogada 1
 
5.9%
dueños 1
 
5.9%
comercio 1
 
5.9%
super 1
 
5.9%
Other values (5) 5
29.4%
2025-02-26T17:42:32.592349image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 17
12.5%
o 12
 
8.8%
r 10
 
7.4%
a 10
 
7.4%
10
 
7.4%
d 9
 
6.6%
i 8
 
5.9%
n 8
 
5.9%
t 7
 
5.1%
D 4
 
2.9%
Other values (21) 41
30.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 136
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 17
12.5%
o 12
 
8.8%
r 10
 
7.4%
a 10
 
7.4%
10
 
7.4%
d 9
 
6.6%
i 8
 
5.9%
n 8
 
5.9%
t 7
 
5.1%
D 4
 
2.9%
Other values (21) 41
30.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 136
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 17
12.5%
o 12
 
8.8%
r 10
 
7.4%
a 10
 
7.4%
10
 
7.4%
d 9
 
6.6%
i 8
 
5.9%
n 8
 
5.9%
t 7
 
5.1%
D 4
 
2.9%
Other values (21) 41
30.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 136
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 17
12.5%
o 12
 
8.8%
r 10
 
7.4%
a 10
 
7.4%
10
 
7.4%
d 9
 
6.6%
i 8
 
5.9%
n 8
 
5.9%
t 7
 
5.1%
D 4
 
2.9%
Other values (21) 41
30.1%

w1_I00
Real number (ℝ)

Missing 

Do you want to participate? 1. Yes, 2. No [go to I05]

Distinct2
Distinct (%)0.4%
Missing819
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean1.447418738
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:32.637506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.497703568
Coefficient of variation (CV)0.3438559657
Kurtosis-1.962530387
Mean1.447418738
Median Absolute Deviation (MAD)0
Skewness0.2121066145
Sum757
Variance0.2477088416
MonotonicityNot monotonic
2025-02-26T17:42:32.676420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 289
 
21.5%
2 234
 
17.4%
(Missing) 819
61.0%
ValueCountFrequency (%)
1 289
21.5%
2 234
17.4%
ValueCountFrequency (%)
2 234
17.4%
1 289
21.5%

w1_I01
Real number (ℝ)

Missing 

Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’

Distinct3
Distinct (%)1.0%
Missing1053
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean1.688581315
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:32.712581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4858137444
Coefficient of variation (CV)0.2877052708
Kurtosis-1.020511831
Mean1.688581315
Median Absolute Deviation (MAD)0
Skewness-0.5418202194
Sum488
Variance0.2360149942
MonotonicityNot monotonic
2025-02-26T17:42:32.752306image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 193
 
14.4%
1 93
 
6.9%
3 3
 
0.2%
(Missing) 1053
78.5%
ValueCountFrequency (%)
1 93
6.9%
2 193
14.4%
3 3
 
0.2%
ValueCountFrequency (%)
3 3
 
0.2%
2 193
14.4%
1 93
6.9%

w1_I03
Real number (ℝ)

Missing 

How many Mobile phones do you have? N. |__|

Distinct4
Distinct (%)2.1%
Missing1150
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean5117800.682
Minimum1
Maximum982617521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:32.792373image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum982617521
Range982617520
Interquartile range (IQR)0

Descriptive statistics

Standard deviation70914311.2
Coefficient of variation (CV)13.85640348
Kurtosis192
Mean5117800.682
Median Absolute Deviation (MAD)0
Skewness13.85640646
Sum982617731
Variance5.028839533 × 1015
MonotonicityNot monotonic
2025-02-26T17:42:32.831000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 175
 
13.0%
2 13
 
1.0%
3 3
 
0.2%
982617521 1
 
0.1%
(Missing) 1150
85.7%
ValueCountFrequency (%)
1 175
13.0%
2 13
 
1.0%
3 3
 
0.2%
982617521 1
 
0.1%
ValueCountFrequency (%)
982617521 1
 
0.1%
3 3
 
0.2%
2 13
 
1.0%
1 175
13.0%

w1_I04
Real number (ℝ)

Missing 

I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]

Distinct2
Distinct (%)1.0%
Missing1150
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean1.020833333
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:32.867284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1431995398
Coefficient of variation (CV)0.1402771002
Kurtosis44.19491281
Mean1.020833333
Median Absolute Deviation (MAD)0
Skewness6.762738581
Sum196
Variance0.0205061082
MonotonicityNot monotonic
2025-02-26T17:42:32.905361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 188
 
14.0%
2 4
 
0.3%
(Missing) 1150
85.7%
ValueCountFrequency (%)
1 188
14.0%
2 4
 
0.3%
ValueCountFrequency (%)
2 4
 
0.3%
1 188
14.0%

w1_BFI15_1
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often worry about trifles.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_2
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often feel disturbed.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_3
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I always worry that something bad is going to happen.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_4
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to plan things from the beginning.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_5
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I am diligent in my work or study.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_6
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: One of my characteristics is doing things logically and orderly.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_7
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I think most people are well-intentioned.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_8
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some frauds in the society, I think most people can be trusted.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_9
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some bad things in human society (such as war, evil and fraud), I still believe that human nature is generally good.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_10
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm a person who loves to take risks and break the rules.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_11
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like adventure.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_12
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I have a spirit of adventure that no one else has.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_13
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm bored by parties with lots of people.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_14
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I try to avoid parties with lots of people and noisy environments.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_BFI15_15
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to go to social and recreational parties.

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_GT_BF15
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_N01
Unsupported

Missing  Rejected  Unsupported 

How did you make a decision to become a student? 1. By myself 2. Followed my parents' advice 3. Followed my brother/sister's advice4. Other, please specify: ____

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_N01_other
Unsupported

Missing  Rejected  Unsupported 

How did you make a decision to become a student? | Answer: Other, please specify: ____

Missing1342
Missing (%)100.0%
Memory size10.8 KiB

w1_N02
Unsupported

Missing  Rejected  Unsupported 

Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_N03
Unsupported

Missing  Rejected  Unsupported 

From where did you migrate? 1. Arkhangai 2. Bayan-Ulgii 3. Баянхонгор 4. Bayankhongor 5. Govi-Altai 6. Govisumber 7. Darkhan-Uul 8. Dornogovi 9. Dornod 10. Dundgovi 11. Zavkhan 12. Orkhon 13. Uvurkhangai 14. Umnugovi 15. Sukhbaatar 16. Selenge 17. Tuv 18. Uvs 19. Khovd 20. Khuvsgul 21. Khentii

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_N04
Unsupported

Missing  Rejected  Unsupported 

For how long are you living in the current place? 1. Less than 1 year 2. 1-2 years 3. 3-4 years 4. 4-5 years 5. 5 or more years

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_N05_1
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1342
Missing (%)100.0%
Memory size10.8 KiB

w1_N05_2
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1342
Missing (%)100.0%
Memory size10.8 KiB

w1_N05_3
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1342
Missing (%)100.0%
Memory size10.8 KiB

w1_N05_4
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1342
Missing (%)100.0%
Memory size10.8 KiB

w1_N05_5
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1342
Missing (%)100.0%
Memory size10.8 KiB

w1_N05_6
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1342
Missing (%)100.0%
Memory size10.8 KiB

w1_N05_7
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1342
Missing (%)100.0%
Memory size10.8 KiB

w1_N05_8
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing1342
Missing (%)100.0%
Memory size10.8 KiB

w1_N06
Unsupported

Missing  Rejected  Unsupported 

Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____

Missing1342
Missing (%)100.0%
Memory size11.9 KiB

w1_N06_other
Unsupported

Missing  Rejected  Unsupported 

Please, give the reason to migrate to the city. | Answer: Other, please specify: ____

Missing1342
Missing (%)100.0%
Memory size10.8 KiB

w1_interviewtime
Real number (ℝ)

Zeros 

time of interview

Distinct954
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean885.5323174
Minimum0
Maximum29337.1
Zeros386
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:32.952663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median344.59
Q31336.4275
95-th percentile2804.1995
Maximum29337.1
Range29337.1
Interquartile range (IQR)1336.4275

Descriptive statistics

Standard deviation1576.922179
Coefficient of variation (CV)1.780761863
Kurtosis110.1314892
Mean885.5323174
Median Absolute Deviation (MAD)344.59
Skewness7.940676145
Sum1188384.37
Variance2486683.56
MonotonicityNot monotonic
2025-02-26T17:42:33.004703image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 386
28.8%
34.9 2
 
0.1%
1010.67 2
 
0.1%
86.13 2
 
0.1%
1202.0 1
 
0.1%
93.93 1
 
0.1%
127.28 1
 
0.1%
102.05 1
 
0.1%
6011.21 1
 
0.1%
2190.36 1
 
0.1%
Other values (944) 944
70.3%
ValueCountFrequency (%)
0.0 386
28.8%
6.75 1
 
0.1%
7.7 1
 
0.1%
8.67 1
 
0.1%
8.78 1
 
0.1%
ValueCountFrequency (%)
29337.1 1
0.1%
21150.7 1
0.1%
16621.2 1
0.1%
11817.5 1
0.1%
10544.5 1
0.1%

w1_GT_A0
Real number (ℝ)

Missing  Skewed 

Distinct834
Distinct (%)87.2%
Missing386
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean45.95932008
Minimum2.92
Maximum7322.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:33.054718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.92
5-th percentile9.0875
Q114.6525
median20.905
Q329.9125
95-th percentile69.0125
Maximum7322.7
Range7319.78
Interquartile range (IQR)15.26

Descriptive statistics

Standard deviation322.3278175
Coefficient of variation (CV)7.013328678
Kurtosis452.2207673
Mean45.95932008
Median Absolute Deviation (MAD)7.33
Skewness20.98618621
Sum43937.11
Variance103895.222
MonotonicityNot monotonic
2025-02-26T17:42:33.105972image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.75 5
 
0.4%
23.51 4
 
0.3%
21.84 3
 
0.2%
22.82 3
 
0.2%
23.42 3
 
0.2%
9.19 3
 
0.2%
13.52 3
 
0.2%
21.5 3
 
0.2%
16.84 3
 
0.2%
17.84 3
 
0.2%
Other values (824) 923
68.8%
(Missing) 386
28.8%
ValueCountFrequency (%)
2.92 1
0.1%
4.11 1
0.1%
4.25 1
0.1%
4.71 1
0.1%
4.99 1
0.1%
ValueCountFrequency (%)
7322.7 1
0.1%
6611.85 1
0.1%
959.2 1
0.1%
660.08 1
0.1%
527.49 1
0.1%

w1_GT_A1
Real number (ℝ)

Missing 

Distinct786
Distinct (%)98.1%
Missing541
Missing (%)40.3%
Infinite0
Infinite (%)0.0%
Mean125.8726217
Minimum9.09
Maximum1870.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:33.158206image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum9.09
5-th percentile53.23
Q174.36
median97.21
Q3132.41
95-th percentile247.74
Maximum1870.62
Range1861.53
Interquartile range (IQR)58.05

Descriptive statistics

Standard deviation131.1125291
Coefficient of variation (CV)1.04162865
Kurtosis73.65691306
Mean125.8726217
Median Absolute Deviation (MAD)26.3
Skewness7.321386006
Sum100823.97
Variance17190.49529
MonotonicityNot monotonic
2025-02-26T17:42:33.210370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113.54 2
 
0.1%
80.6 2
 
0.1%
50.17 2
 
0.1%
99.77 2
 
0.1%
115.18 2
 
0.1%
73.33 2
 
0.1%
88.85 2
 
0.1%
128.08 2
 
0.1%
91.46 2
 
0.1%
92.02 2
 
0.1%
Other values (776) 781
58.2%
(Missing) 541
40.3%
ValueCountFrequency (%)
9.09 1
0.1%
15.29 1
0.1%
25.48 1
0.1%
26.45 1
0.1%
30.18 1
0.1%
ValueCountFrequency (%)
1870.62 1
0.1%
1664.82 1
0.1%
1031.95 1
0.1%
1028.94 1
0.1%
901.69 1
0.1%

w1_GT_B
Real number (ℝ)

Missing 

Distinct682
Distinct (%)99.6%
Missing657
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean451.1438394
Minimum17.27
Maximum15434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:33.261283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum17.27
5-th percentile151.256
Q1225.83
median294.11
Q3411.86
95-th percentile831.414
Maximum15434
Range15416.73
Interquartile range (IQR)186.03

Descriptive statistics

Standard deviation959.5098595
Coefficient of variation (CV)2.126837996
Kurtosis141.8474511
Mean451.1438394
Median Absolute Deviation (MAD)84.45
Skewness10.95154456
Sum309033.53
Variance920659.1705
MonotonicityNot monotonic
2025-02-26T17:42:33.314581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
216.93 2
 
0.1%
352.06 2
 
0.1%
304.91 2
 
0.1%
219.53 1
 
0.1%
225.26 1
 
0.1%
275.41 1
 
0.1%
262.59 1
 
0.1%
289.65 1
 
0.1%
255.23 1
 
0.1%
1720.66 1
 
0.1%
Other values (672) 672
50.1%
(Missing) 657
49.0%
ValueCountFrequency (%)
17.27 1
0.1%
29.69 1
0.1%
31.38 1
0.1%
35.91 1
0.1%
41.67 1
0.1%
ValueCountFrequency (%)
15434.0 1
0.1%
13039.3 1
0.1%
7699.21 1
0.1%
7043.86 1
0.1%
6682.19 1
0.1%

w1_GT_C
Real number (ℝ)

Missing 

Distinct655
Distinct (%)98.2%
Missing675
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean158.332099
Minimum5.76
Maximum5267.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:33.404552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.76
5-th percentile43.91
Q185.275
median114.14
Q3163.855
95-th percentile318.119
Maximum5267.22
Range5261.46
Interquartile range (IQR)78.58

Descriptive statistics

Standard deviation284.333293
Coefficient of variation (CV)1.795803219
Kurtosis199.5967435
Mean158.332099
Median Absolute Deviation (MAD)33.96
Skewness12.88900235
Sum105607.51
Variance80845.42149
MonotonicityNot monotonic
2025-02-26T17:42:33.464876image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.45 2
 
0.1%
127.44 2
 
0.1%
76.12 2
 
0.1%
182.84 2
 
0.1%
99.71 2
 
0.1%
90.56 2
 
0.1%
102.82 2
 
0.1%
135.71 2
 
0.1%
34.72 2
 
0.1%
63.43 2
 
0.1%
Other values (645) 647
48.2%
(Missing) 675
50.3%
ValueCountFrequency (%)
5.76 1
0.1%
5.81 1
0.1%
6.96 1
0.1%
7.39 1
0.1%
8.16 1
0.1%
ValueCountFrequency (%)
5267.22 1
0.1%
3550.03 1
0.1%
2917.51 1
0.1%
1116.83 1
0.1%
932.86 1
0.1%

w1_GT_D
Real number (ℝ)

Missing 

Distinct600
Distinct (%)95.2%
Missing712
Missing (%)53.1%
Infinite0
Infinite (%)0.0%
Mean55.03157143
Minimum4.46
Maximum552.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:33.515110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.46
5-th percentile17.2735
Q127.93
median43.53
Q363.8275
95-th percentile129.305
Maximum552.77
Range548.31
Interquartile range (IQR)35.8975

Descriptive statistics

Standard deviation53.1932536
Coefficient of variation (CV)0.9665952147
Kurtosis43.35334673
Mean55.03157143
Median Absolute Deviation (MAD)16.85
Skewness5.52938455
Sum34669.89
Variance2829.522229
MonotonicityNot monotonic
2025-02-26T17:42:33.566292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.51 2
 
0.1%
39.26 2
 
0.1%
52.15 2
 
0.1%
35.02 2
 
0.1%
17.26 2
 
0.1%
16.78 2
 
0.1%
44.71 2
 
0.1%
19.33 2
 
0.1%
36.66 2
 
0.1%
31.79 2
 
0.1%
Other values (590) 610
45.5%
(Missing) 712
53.1%
ValueCountFrequency (%)
4.46 1
0.1%
5.36 1
0.1%
6.09 1
0.1%
6.65 1
0.1%
8.42 1
0.1%
ValueCountFrequency (%)
552.77 1
0.1%
547.99 1
0.1%
547.54 1
0.1%
495.28 1
0.1%
318.67 1
0.1%

w1_GT_E
Real number (ℝ)

Missing 

Distinct597
Distinct (%)97.7%
Missing731
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean213.0010966
Minimum9.32
Maximum2937.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:33.616652image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum9.32
5-th percentile99.61
Q1140.995
median174.7
Q3234.55
95-th percentile401.6
Maximum2937.29
Range2927.97
Interquartile range (IQR)93.555

Descriptive statistics

Standard deviation189.6482227
Coefficient of variation (CV)0.8903626589
Kurtosis95.11387571
Mean213.0010966
Median Absolute Deviation (MAD)43.05
Skewness8.334279179
Sum130143.67
Variance35966.44837
MonotonicityNot monotonic
2025-02-26T17:42:33.666926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198.33 3
 
0.2%
238.01 2
 
0.1%
169.28 2
 
0.1%
162.64 2
 
0.1%
104.87 2
 
0.1%
167.64 2
 
0.1%
151.6 2
 
0.1%
251.66 2
 
0.1%
224.23 2
 
0.1%
155.06 2
 
0.1%
Other values (587) 590
44.0%
(Missing) 731
54.5%
ValueCountFrequency (%)
9.32 1
0.1%
19.58 1
0.1%
28.04 1
0.1%
50.25 1
0.1%
61.93 1
0.1%
ValueCountFrequency (%)
2937.29 1
0.1%
2020.47 1
0.1%
1747.41 1
0.1%
1572.96 1
0.1%
1294.47 1
0.1%

w1_GT_F
Real number (ℝ)

Missing 

Distinct585
Distinct (%)96.5%
Missing736
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean45.90282178
Minimum3.83
Maximum1744.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:33.717220image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.83
5-th percentile8.1825
Q113.055
median24.86
Q360.6775
95-th percentile126.9475
Maximum1744.29
Range1740.46
Interquartile range (IQR)47.6225

Descriptive statistics

Standard deviation83.03937499
Coefficient of variation (CV)1.809025497
Kurtosis290.4647665
Mean45.90282178
Median Absolute Deviation (MAD)14.92
Skewness14.63683677
Sum27817.11
Variance6895.537799
MonotonicityNot monotonic
2025-02-26T17:42:33.770321image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.48 3
 
0.2%
11.79 3
 
0.2%
15.02 2
 
0.1%
10.34 2
 
0.1%
14.65 2
 
0.1%
106.44 2
 
0.1%
9.94 2
 
0.1%
14.97 2
 
0.1%
21.22 2
 
0.1%
23.71 2
 
0.1%
Other values (575) 584
43.5%
(Missing) 736
54.8%
ValueCountFrequency (%)
3.83 1
0.1%
6.21 1
0.1%
6.31 1
0.1%
6.91 1
0.1%
6.97 1
0.1%
ValueCountFrequency (%)
1744.29 1
0.1%
380.3 1
0.1%
353.9 1
0.1%
301.38 1
0.1%
294.58 1
0.1%

w1_GT_G1
Real number (ℝ)

Missing 

Distinct580
Distinct (%)97.3%
Missing746
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean115.9993289
Minimum4.44
Maximum3477.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:33.822436image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.44
5-th percentile45.9975
Q166.43
median86.53
Q3109.49
95-th percentile195.9275
Maximum3477.62
Range3473.18
Interquartile range (IQR)43.06

Descriptive statistics

Standard deviation201.9284149
Coefficient of variation (CV)1.740772269
Kurtosis152.5709768
Mean115.9993289
Median Absolute Deviation (MAD)21.73
Skewness11.0907152
Sum69135.6
Variance40775.08472
MonotonicityNot monotonic
2025-02-26T17:42:33.947951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52.33 3
 
0.2%
85.66 2
 
0.1%
81.15 2
 
0.1%
62.97 2
 
0.1%
81.0 2
 
0.1%
75.87 2
 
0.1%
111.22 2
 
0.1%
107.68 2
 
0.1%
102.78 2
 
0.1%
84.09 2
 
0.1%
Other values (570) 575
42.8%
(Missing) 746
55.6%
ValueCountFrequency (%)
4.44 1
0.1%
6.17 1
0.1%
6.49 1
0.1%
8.06 1
0.1%
8.84 1
0.1%
ValueCountFrequency (%)
3477.62 1
0.1%
2008.9 1
0.1%
1498.53 1
0.1%
1489.64 1
0.1%
1477.7 1
0.1%

w1_GT_G2
Real number (ℝ)

Missing  Skewed 

Distinct578
Distinct (%)98.0%
Missing752
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean201.5852203
Minimum3.45
Maximum28223.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:33.998902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.45
5-th percentile44.8975
Q180.5375
median107.405
Q3148.6475
95-th percentile280.079
Maximum28223.7
Range28220.25
Interquartile range (IQR)68.11

Descriptive statistics

Standard deviation1198.903218
Coefficient of variation (CV)5.947376577
Kurtosis509.4865096
Mean201.5852203
Median Absolute Deviation (MAD)32.85
Skewness21.94389133
Sum118935.28
Variance1437368.925
MonotonicityNot monotonic
2025-02-26T17:42:34.048198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132.46 2
 
0.1%
145.5 2
 
0.1%
116.96 2
 
0.1%
70.47 2
 
0.1%
98.8 2
 
0.1%
81.05 2
 
0.1%
151.35 2
 
0.1%
118.84 2
 
0.1%
197.29 2
 
0.1%
91.04 2
 
0.1%
Other values (568) 570
42.5%
(Missing) 752
56.0%
ValueCountFrequency (%)
3.45 1
0.1%
6.0 1
0.1%
7.13 1
0.1%
8.72 1
0.1%
9.89 1
0.1%
ValueCountFrequency (%)
28223.7 1
0.1%
4636.87 1
0.1%
3926.55 1
0.1%
3466.62 1
0.1%
2700.61 1
0.1%

w1_GT_G3
Real number (ℝ)

Missing 

Distinct562
Distinct (%)98.4%
Missing771
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean164.5283187
Minimum2.79
Maximum6530.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:34.097706image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.79
5-th percentile38.475
Q180.13
median109.51
Q3150.29
95-th percentile293.365
Maximum6530.32
Range6527.53
Interquartile range (IQR)70.16

Descriptive statistics

Standard deviation371.5809595
Coefficient of variation (CV)2.258462022
Kurtosis173.6051907
Mean164.5283187
Median Absolute Deviation (MAD)32.47
Skewness11.8220366
Sum93945.67
Variance138072.4094
MonotonicityNot monotonic
2025-02-26T17:42:34.148454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.15 2
 
0.1%
162.53 2
 
0.1%
92.04 2
 
0.1%
113.63 2
 
0.1%
141.98 2
 
0.1%
83.24 2
 
0.1%
134.11 2
 
0.1%
108.24 2
 
0.1%
226.24 2
 
0.1%
168.93 1
 
0.1%
Other values (552) 552
41.1%
(Missing) 771
57.5%
ValueCountFrequency (%)
2.79 1
0.1%
3.91 1
0.1%
5.16 1
0.1%
5.21 1
0.1%
7.36 1
0.1%
ValueCountFrequency (%)
6530.32 1
0.1%
3891.38 1
0.1%
2346.88 1
0.1%
2251.11 1
0.1%
1984.82 1
0.1%

w1_GT_H1
Real number (ℝ)

Missing  Skewed 

Distinct518
Distinct (%)95.6%
Missing800
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean58.88110701
Minimum3.39
Maximum5342.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:34.199655image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.39
5-th percentile17.508
Q125.345
median32.965
Q346.7225
95-th percentile123.844
Maximum5342.15
Range5338.76
Interquartile range (IQR)21.3775

Descriptive statistics

Standard deviation237.8258056
Coefficient of variation (CV)4.039085161
Kurtosis452.6520535
Mean58.88110701
Median Absolute Deviation (MAD)9.32
Skewness20.50910006
Sum31913.56
Variance56561.11379
MonotonicityNot monotonic
2025-02-26T17:42:34.251873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.46 3
 
0.2%
42.29 3
 
0.2%
46.93 2
 
0.1%
22.12 2
 
0.1%
47.82 2
 
0.1%
20.85 2
 
0.1%
30.57 2
 
0.1%
40.13 2
 
0.1%
32.87 2
 
0.1%
41.91 2
 
0.1%
Other values (508) 520
38.7%
(Missing) 800
59.6%
ValueCountFrequency (%)
3.39 1
0.1%
11.65 1
0.1%
13.06 1
0.1%
13.19 1
0.1%
13.73 1
0.1%
ValueCountFrequency (%)
5342.15 1
0.1%
910.96 1
0.1%
617.25 1
0.1%
614.82 1
0.1%
495.71 1
0.1%

w1_GT_H2
Real number (ℝ)

Missing 

Distinct522
Distinct (%)96.8%
Missing803
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean93.79387755
Minimum14.93
Maximum1040.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:34.302660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum14.93
5-th percentile30.636
Q153.63
median75.12
Q3105.625
95-th percentile199.865
Maximum1040.73
Range1025.8
Interquartile range (IQR)51.995

Descriptive statistics

Standard deviation86.00081063
Coefficient of variation (CV)0.9169128398
Kurtosis55.3766703
Mean93.79387755
Median Absolute Deviation (MAD)24.61
Skewness6.146830301
Sum50554.9
Variance7396.139428
MonotonicityNot monotonic
2025-02-26T17:42:34.356212image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.98 3
 
0.2%
64.36 2
 
0.1%
57.61 2
 
0.1%
53.22 2
 
0.1%
64.26 2
 
0.1%
42.49 2
 
0.1%
56.77 2
 
0.1%
95.76 2
 
0.1%
73.28 2
 
0.1%
105.46 2
 
0.1%
Other values (512) 518
38.6%
(Missing) 803
59.8%
ValueCountFrequency (%)
14.93 1
0.1%
15.25 1
0.1%
16.85 1
0.1%
17.61 1
0.1%
17.9 1
0.1%
ValueCountFrequency (%)
1040.73 1
0.1%
1009.84 1
0.1%
598.35 1
0.1%
545.82 1
0.1%
494.82 1
0.1%

w1_GT_I1
Real number (ℝ)

Missing 

Distinct516
Distinct (%)98.7%
Missing819
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean128.2814532
Minimum5.33
Maximum4913.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:34.407343image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.33
5-th percentile17.145
Q152.265
median89.8
Q3135.635
95-th percentile282.657
Maximum4913.27
Range4907.94
Interquartile range (IQR)83.37

Descriptive statistics

Standard deviation287.0541008
Coefficient of variation (CV)2.237689812
Kurtosis183.7944262
Mean128.2814532
Median Absolute Deviation (MAD)41.25
Skewness12.64856533
Sum67091.2
Variance82400.05681
MonotonicityNot monotonic
2025-02-26T17:42:34.461600image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188.74 3
 
0.2%
149.13 2
 
0.1%
42.26 2
 
0.1%
70.25 2
 
0.1%
45.67 2
 
0.1%
91.0 2
 
0.1%
96.62 1
 
0.1%
105.6 1
 
0.1%
142.19 1
 
0.1%
110.65 1
 
0.1%
Other values (506) 506
37.7%
(Missing) 819
61.0%
ValueCountFrequency (%)
5.33 1
0.1%
7.2 1
0.1%
7.65 1
0.1%
7.79 1
0.1%
8.24 1
0.1%
ValueCountFrequency (%)
4913.27 1
0.1%
3153.81 1
0.1%
2735.52 1
0.1%
716.79 1
0.1%
620.43 1
0.1%

w1_GT_I2
Real number (ℝ)

Missing 

Distinct312
Distinct (%)90.7%
Missing998
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean13.88186047
Minimum2.02
Maximum329.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2025-02-26T17:42:34.511239image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.02
5-th percentile4.1245
Q16.93
median9.305
Q312.8925
95-th percentile33.058
Maximum329.58
Range327.56
Interquartile range (IQR)5.9625

Descriptive statistics

Standard deviation23.99396281
Coefficient of variation (CV)1.728439993
Kurtosis102.8252213
Mean13.88186047
Median Absolute Deviation (MAD)2.62
Skewness9.185312848
Sum4775.36
Variance575.7102513
MonotonicityNot monotonic
2025-02-26T17:42:34.563700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.75 3
 
0.2%
8.72 3
 
0.2%
7.03 3
 
0.2%
7.54 2
 
0.1%
7.43 2
 
0.1%
6.53 2
 
0.1%
8.48 2
 
0.1%
7.86 2
 
0.1%
8.07 2
 
0.1%
11.82 2
 
0.1%
Other values (302) 321
 
23.9%
(Missing) 998
74.4%
ValueCountFrequency (%)
2.02 1
0.1%
2.35 1
0.1%
2.61 2
0.1%
2.68 1
0.1%
2.78 1
0.1%
ValueCountFrequency (%)
329.58 1
0.1%
196.37 1
0.1%
172.98 1
0.1%
115.01 1
0.1%
81.87 1
0.1%

w1_GT_N
Unsupported

Missing  Rejected  Unsupported 

Missing1342
Missing (%)100.0%
Memory size11.9 KiB